Apex Systems is looking for a Cloud Systems Admin/Engineer to support one of our largest DoD clients in Fort Meade, MD. If interested in this, or any other opportunities in the government space, please send resume to Tessa Moulds via Candidates must be US Citizens and able to obtain/maintain at minimum, a DoD TS/SCI clearance, per a condition of employment. Position: Cloud Systems Engineer Location : Fort Meade, MD Terms : 6 month Contract to Hire Description : The Origin program is in need of a Cloud Systems Engineer who has experience with designing, deploying, and managing cloud environments from Amazon Web Services, Microsoft Azure, Google, Oracle Cloud Compute, and IBM. Experience should also include on-premise VMWare/Nutanix virtual hosting environments, MS Windows Server administration, Windows PowerShell scripting, Active Directory, VDI, and NetAPP storage solutions. Applicant should be able to design and develop complex solutions with minimal to no assistance from peers. Daily duties include O&M of virtual environments, and designing and implementing new technologies. Should also be able to review peers' designs and ensure solution is sound. Must be able to work in a large team environment and collaborate when needed. Adaptability and thinking outside the box to meet complex customer requirement is key. This is a high-profile program supporting projects working on highly visible applications AND building the next generation of these applications. Primary Responsibilities: • Design, deploy, and manage cloud-oriented solutions from major vendors such as Amazon Web Services, Microsoft Azure, Google, Oracle Cloud Compute, and IBM. • Automate cloud deployments using Ansible and/or TerraForm. • Assist with efforts to prototype new cloud technologies and services that are key to the cloud roadmap. • Design, deploy, and manage on-premise solutions using virtual environments implemented under VMWare or Nutanix and using NetAPP storage or hyperconverged systems. • Build Windows-based servers and desktops from versions within both cloud and on-premise hosting environments. • Build networked cloud nodes to provide site-to-site connectivity and IP address obfuscation. • Provide technical expertise and assist with systems integration and consolidation efforts across multiple systems environments. • Addresses and resolves technical problems of moderate complexity relating to the installation and upgrade of systems hardware and systems. • Interface with customers, vendors and other technical staff to analyze business and technical requirements. • Engineer/implement technical solutions from a cradle to grave technical approach. • Assist/train engineers on new technologies to improve the organizations technical expertise. • Utilize tools and programming languages to perform repetitive tasks. • Requires expert knowledge of and ability to apply advanced technical principles, theories, and concepts. Required Qualifications: • Active TS/SCI with Polygraph. Candidates who do not currently possess this level of clearance will not be considered. • Typically requires BS degree (or equivalent experience) and 12 years of prior relevant experience or Masters with 10 years of prior relevant experience, additional experience in lieu of degree • Demonstrated experience with the following: o Cloud first and cloud native architectures (any or all of Amazon Web Services, Azure, Google Cloud, Oracle, IBM) o Utilizing cloud services to build infrastructure as code in an automated fashion • Strong communication skills via documentation and verbally • Demonstrated experience for client support of large-scale enterprise applications. Preferred Qualifications: • Certifications in AWS, Azure, or other cloud environments.
04/28/2024
Full time
Apex Systems is looking for a Cloud Systems Admin/Engineer to support one of our largest DoD clients in Fort Meade, MD. If interested in this, or any other opportunities in the government space, please send resume to Tessa Moulds via Candidates must be US Citizens and able to obtain/maintain at minimum, a DoD TS/SCI clearance, per a condition of employment. Position: Cloud Systems Engineer Location : Fort Meade, MD Terms : 6 month Contract to Hire Description : The Origin program is in need of a Cloud Systems Engineer who has experience with designing, deploying, and managing cloud environments from Amazon Web Services, Microsoft Azure, Google, Oracle Cloud Compute, and IBM. Experience should also include on-premise VMWare/Nutanix virtual hosting environments, MS Windows Server administration, Windows PowerShell scripting, Active Directory, VDI, and NetAPP storage solutions. Applicant should be able to design and develop complex solutions with minimal to no assistance from peers. Daily duties include O&M of virtual environments, and designing and implementing new technologies. Should also be able to review peers' designs and ensure solution is sound. Must be able to work in a large team environment and collaborate when needed. Adaptability and thinking outside the box to meet complex customer requirement is key. This is a high-profile program supporting projects working on highly visible applications AND building the next generation of these applications. Primary Responsibilities: • Design, deploy, and manage cloud-oriented solutions from major vendors such as Amazon Web Services, Microsoft Azure, Google, Oracle Cloud Compute, and IBM. • Automate cloud deployments using Ansible and/or TerraForm. • Assist with efforts to prototype new cloud technologies and services that are key to the cloud roadmap. • Design, deploy, and manage on-premise solutions using virtual environments implemented under VMWare or Nutanix and using NetAPP storage or hyperconverged systems. • Build Windows-based servers and desktops from versions within both cloud and on-premise hosting environments. • Build networked cloud nodes to provide site-to-site connectivity and IP address obfuscation. • Provide technical expertise and assist with systems integration and consolidation efforts across multiple systems environments. • Addresses and resolves technical problems of moderate complexity relating to the installation and upgrade of systems hardware and systems. • Interface with customers, vendors and other technical staff to analyze business and technical requirements. • Engineer/implement technical solutions from a cradle to grave technical approach. • Assist/train engineers on new technologies to improve the organizations technical expertise. • Utilize tools and programming languages to perform repetitive tasks. • Requires expert knowledge of and ability to apply advanced technical principles, theories, and concepts. Required Qualifications: • Active TS/SCI with Polygraph. Candidates who do not currently possess this level of clearance will not be considered. • Typically requires BS degree (or equivalent experience) and 12 years of prior relevant experience or Masters with 10 years of prior relevant experience, additional experience in lieu of degree • Demonstrated experience with the following: o Cloud first and cloud native architectures (any or all of Amazon Web Services, Azure, Google Cloud, Oracle, IBM) o Utilizing cloud services to build infrastructure as code in an automated fashion • Strong communication skills via documentation and verbally • Demonstrated experience for client support of large-scale enterprise applications. Preferred Qualifications: • Certifications in AWS, Azure, or other cloud environments.
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/28/2024
Full time
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+, and has 52 offices in 20 countries within key global markets. Our challenge We are looking for a Java Backend Developer. The ideal candidate should have experience working in Java 7 and above, Java 8 is highly preferable. The Role Responsibilities : Develop and maintain scalable server-side Java applications. Implement robust RESTful APIs and microservices. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Optimize applications for maximum speed and scalability. Design and implement data storage solutions. Ensure the technical feasibility of system architecture and design. Participate in the full software development lifecycle, including requirement analysis, system design, coding, testing, deployment, and maintenance. Write clean, maintainable, and efficient code. Contribute to continuous improvement by investigating alternatives and technologies and presenting these for architectural review. Troubleshoot and debug existing applications. Write unit and integration tests to ensure software quality. Mentor junior developers and conduct code reviews. Keep abreast of emerging technologies and industry trends. Requirements: You are: Experience working with multiple teams especially with Middleware Support, Unix, Database Support and Migration Teams. Experience working in Java 7 and above. Java 8 is highly preferable. Strong Understanding of Java / J2EE concepts (Java Servlet, JSP and Struts, Websphere application Servers, Tomcat Application Server) Strong knowledge of Micro Services and understanding of devops tools. (Gitlab preferable) Experience with working in frameworks like Spring Boot, Spring Security, Spring JDBC, Hikari Connection Pooling. Good understanding of application security (OWASP, OAuth2) Good Understanding of Application Infrastructure components like Load balancers, Proxies, SSL, TLS and Cipher Suites. Good knowledge of Single Sign on Implementations Good experience in SQL, PL SQL (Preferably Sybase and Oracle) It would be great if you also had: Good understanding of SDLC and Release Control is a plus. Knowledge and experience of Agile methodology is a plus. We can offer you: A highly competitive compensation and benefits package A multinational organization with 52 offices in 20 countries and the possibility to work abroad Laptop and a mobile phone 10 days of paid annual leave (plus sick leave and national holidays) Maternity & Paternity leave plans A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) Retirement savings plans A higher education certification policy Commuter benefits (varies by region) Extensive training opportunities, focused on skills, substantive knowledge, and personal development On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms A flat and approachable organization A truly diverse, fun-loving and global work culture S- YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice
04/28/2024
Full time
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 13,950+, and has 52 offices in 20 countries within key global markets. Our challenge We are looking for a Java Backend Developer. The ideal candidate should have experience working in Java 7 and above, Java 8 is highly preferable. The Role Responsibilities : Develop and maintain scalable server-side Java applications. Implement robust RESTful APIs and microservices. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Optimize applications for maximum speed and scalability. Design and implement data storage solutions. Ensure the technical feasibility of system architecture and design. Participate in the full software development lifecycle, including requirement analysis, system design, coding, testing, deployment, and maintenance. Write clean, maintainable, and efficient code. Contribute to continuous improvement by investigating alternatives and technologies and presenting these for architectural review. Troubleshoot and debug existing applications. Write unit and integration tests to ensure software quality. Mentor junior developers and conduct code reviews. Keep abreast of emerging technologies and industry trends. Requirements: You are: Experience working with multiple teams especially with Middleware Support, Unix, Database Support and Migration Teams. Experience working in Java 7 and above. Java 8 is highly preferable. Strong Understanding of Java / J2EE concepts (Java Servlet, JSP and Struts, Websphere application Servers, Tomcat Application Server) Strong knowledge of Micro Services and understanding of devops tools. (Gitlab preferable) Experience with working in frameworks like Spring Boot, Spring Security, Spring JDBC, Hikari Connection Pooling. Good understanding of application security (OWASP, OAuth2) Good Understanding of Application Infrastructure components like Load balancers, Proxies, SSL, TLS and Cipher Suites. Good knowledge of Single Sign on Implementations Good experience in SQL, PL SQL (Preferably Sybase and Oracle) It would be great if you also had: Good understanding of SDLC and Release Control is a plus. Knowledge and experience of Agile methodology is a plus. We can offer you: A highly competitive compensation and benefits package A multinational organization with 52 offices in 20 countries and the possibility to work abroad Laptop and a mobile phone 10 days of paid annual leave (plus sick leave and national holidays) Maternity & Paternity leave plans A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) Retirement savings plans A higher education certification policy Commuter benefits (varies by region) Extensive training opportunities, focused on skills, substantive knowledge, and personal development On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms A flat and approachable organization A truly diverse, fun-loving and global work culture S- YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/28/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Network Configuration / Performance AnalystLocation: Huntsville, ALClearance: TS with ability to obtain an SCI Who We Seek: MUST HAVE TOP SECRET CLEARANCE Passion Seekers.You genuinely care about the work that you do and its impact on the company and our customers. Self-Starters.Youre a go-getter who isnt afraid to step up and take on any task and see through completion. Collaborators.Youre a great contributor to a high performing team that accomplishes great feats for our clients. We are seeking a Network Configuration / Performance Analyst for our client in Hunstville, Alabama. The ideal candidate will provide technical engineering support for our large federal government agencys highly complex network infrastructure environment to include multiple enclaves comprising various classification levels. The ideal candidate will provide oversight of technical activities performed by the teams personnel and provide them with necessary guidance, as well as serve as an escalation point to other personnel and to provide technical expertise and advice to the government in the area of network configurations and compliance. Responsibilities: Monitoring and analyzing enterprise networks. Provide technical guidance and support to the Government, Project Lead, and other Network Analyst in support of monitoring and managing the customer networks. Maintain awareness of trends and best practices related to networks, technology and IT-related topics and provide recommendations to the Project Lead and Government on possible improvements or changes to customer systems and processes. Provide high-quality and professional customer service in all interactions. Use the FBI Enterprise Network Monitoring Platform to analyze and provide data and documentation related to the network performance of any or all network components. Qualifications: Active Top-Secret Clearance with the ability to obtain an SCI Minimum of 3 years of relevant IT experience with specialization in networking technologies, specifically with Cisco switches and routers and analyzing complex networks Working knowledge of web applications, web servers, application load balancers and storage systems. Must have good knowledge of general network and security tools and methodologies such as firewalls, IDS/IPS and access control lists. Moderate skill in scripting / coding (python, go, Perl, Bash, etc.) in order to support network automation tasks. Preferred Skills and Qualifications: CCNA or higher certification A.S. degree in Information Technology, Computer Science, or related area Experience in network engineering within the federal intelligence community Ability to adhere to a disciplined troubleshooting methodology, and ensure task/mission completion, along with creating and maintaining necessary information.
04/28/2024
Network Configuration / Performance AnalystLocation: Huntsville, ALClearance: TS with ability to obtain an SCI Who We Seek: MUST HAVE TOP SECRET CLEARANCE Passion Seekers.You genuinely care about the work that you do and its impact on the company and our customers. Self-Starters.Youre a go-getter who isnt afraid to step up and take on any task and see through completion. Collaborators.Youre a great contributor to a high performing team that accomplishes great feats for our clients. We are seeking a Network Configuration / Performance Analyst for our client in Hunstville, Alabama. The ideal candidate will provide technical engineering support for our large federal government agencys highly complex network infrastructure environment to include multiple enclaves comprising various classification levels. The ideal candidate will provide oversight of technical activities performed by the teams personnel and provide them with necessary guidance, as well as serve as an escalation point to other personnel and to provide technical expertise and advice to the government in the area of network configurations and compliance. Responsibilities: Monitoring and analyzing enterprise networks. Provide technical guidance and support to the Government, Project Lead, and other Network Analyst in support of monitoring and managing the customer networks. Maintain awareness of trends and best practices related to networks, technology and IT-related topics and provide recommendations to the Project Lead and Government on possible improvements or changes to customer systems and processes. Provide high-quality and professional customer service in all interactions. Use the FBI Enterprise Network Monitoring Platform to analyze and provide data and documentation related to the network performance of any or all network components. Qualifications: Active Top-Secret Clearance with the ability to obtain an SCI Minimum of 3 years of relevant IT experience with specialization in networking technologies, specifically with Cisco switches and routers and analyzing complex networks Working knowledge of web applications, web servers, application load balancers and storage systems. Must have good knowledge of general network and security tools and methodologies such as firewalls, IDS/IPS and access control lists. Moderate skill in scripting / coding (python, go, Perl, Bash, etc.) in order to support network automation tasks. Preferred Skills and Qualifications: CCNA or higher certification A.S. degree in Information Technology, Computer Science, or related area Experience in network engineering within the federal intelligence community Ability to adhere to a disciplined troubleshooting methodology, and ensure task/mission completion, along with creating and maintaining necessary information.
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/28/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Paladin Consulting is currently hiring a Unix/Linux System Engineer to join our team working onsite at our client's office located in Eagan, MN. We work with companies that offer environments for our employees to contribute, learn, and advance their career. We treat you like you are part of the family. Job Title: Unix/Linux System Engineer Work Location: Eagan, MN Duration: Long-term contract Job Description: We are searching for a top-notch UNIX/Linux System Engineer to join our team of qualified, diverse individuals. This position will be in Eagan, MN. This is an on-site position with potential hybrid remote possibilities. First month will be full time on-site. Details to be discussed during screening. You will join the Midrange System Administration teams and provide UNIX / Linux System Operational Upgrade/Availability services teams for an assigned set of US Postal Service applications. The scope includes the full range of system life-cycle phases including, Build, Application /Service Provisioning, Operations and Decommissioning. This position will primarily be working with the team to build and/or upgrade virtual and physical hosts with the SUSE Linux Enterprise Server Distribution from SLES 11 to SLES 12/15 using Ansible and adding storage using VMWare tools. Other duties assigned will include contribution to break/fix activities, Disaster Recovery assistance and other Operational Availability tasks. The engineer should have a deep familiarity with automation and typical applications support associated with these platforms. This role will heavily contribute to the team responsible for design, implementation and maintenance of central IT infrastructure and applications. Responsibilities: Upgrade of SUSE Linux Enterprise Server Distribution from SLES 11 to SLES 12.x / SLES 15.x SME level Unix / Linux System Administration, infrastructure support and automation support. Installation and maintenance of OS Contributor to Incident, Problem and Change Management processes. User Support / Problem resolution Automating existing processes Skills & Qualifications: Bachelor's Degree and minimum of 7 years' experience. Additional experience may be considered in lieu of degree. Experience dealing with management of large (> 1000 systems) environments Experience with Linux (SuSE and Red Hat) Experience upgrading SUSE environments. Experience with patch management. Experience with VMWare Have some understanding with configuration management of large environments, utilizing automation tools such as: AWX Tower, Ansible or other configuration management frameworks. Ability to take customer requirements and create scalable configuration models to support them Process Implementation and documentation Experience using Change/Incident Management tools (ServiceNow) Senior in Linux OS Administration. Ability to troubleshoot problems from the Application tier, through the OS and Network tiers. Unix Shell Scripting Must be able to obtain a Position of Public Trust Clearance - US Citizen or Permanent Resident (Green Card Holder), and must not have traveled outside the US for a combined total of 6 months or more in last 5 years. Must have resided in the US for the last 5 years Preferred Qualifications: Expertise with CONTROL-M Expertise with SMT and custom patch solutions for SuSE and Red Hat systems Expertise with GIT/ GitLab/Ansible/Anisible Tower (AWX) Experience with Cassandra Experience with Oracle CRS (installation/configuration/maintenance) Expertise with custom AutoYaST and Kickstart deployments SOX/PCI Compliance Management For more information or to view other opportunities, visit us at . Paladin is an EEOC employer.
04/28/2024
Full time
Paladin Consulting is currently hiring a Unix/Linux System Engineer to join our team working onsite at our client's office located in Eagan, MN. We work with companies that offer environments for our employees to contribute, learn, and advance their career. We treat you like you are part of the family. Job Title: Unix/Linux System Engineer Work Location: Eagan, MN Duration: Long-term contract Job Description: We are searching for a top-notch UNIX/Linux System Engineer to join our team of qualified, diverse individuals. This position will be in Eagan, MN. This is an on-site position with potential hybrid remote possibilities. First month will be full time on-site. Details to be discussed during screening. You will join the Midrange System Administration teams and provide UNIX / Linux System Operational Upgrade/Availability services teams for an assigned set of US Postal Service applications. The scope includes the full range of system life-cycle phases including, Build, Application /Service Provisioning, Operations and Decommissioning. This position will primarily be working with the team to build and/or upgrade virtual and physical hosts with the SUSE Linux Enterprise Server Distribution from SLES 11 to SLES 12/15 using Ansible and adding storage using VMWare tools. Other duties assigned will include contribution to break/fix activities, Disaster Recovery assistance and other Operational Availability tasks. The engineer should have a deep familiarity with automation and typical applications support associated with these platforms. This role will heavily contribute to the team responsible for design, implementation and maintenance of central IT infrastructure and applications. Responsibilities: Upgrade of SUSE Linux Enterprise Server Distribution from SLES 11 to SLES 12.x / SLES 15.x SME level Unix / Linux System Administration, infrastructure support and automation support. Installation and maintenance of OS Contributor to Incident, Problem and Change Management processes. User Support / Problem resolution Automating existing processes Skills & Qualifications: Bachelor's Degree and minimum of 7 years' experience. Additional experience may be considered in lieu of degree. Experience dealing with management of large (> 1000 systems) environments Experience with Linux (SuSE and Red Hat) Experience upgrading SUSE environments. Experience with patch management. Experience with VMWare Have some understanding with configuration management of large environments, utilizing automation tools such as: AWX Tower, Ansible or other configuration management frameworks. Ability to take customer requirements and create scalable configuration models to support them Process Implementation and documentation Experience using Change/Incident Management tools (ServiceNow) Senior in Linux OS Administration. Ability to troubleshoot problems from the Application tier, through the OS and Network tiers. Unix Shell Scripting Must be able to obtain a Position of Public Trust Clearance - US Citizen or Permanent Resident (Green Card Holder), and must not have traveled outside the US for a combined total of 6 months or more in last 5 years. Must have resided in the US for the last 5 years Preferred Qualifications: Expertise with CONTROL-M Expertise with SMT and custom patch solutions for SuSE and Red Hat systems Expertise with GIT/ GitLab/Ansible/Anisible Tower (AWX) Experience with Cassandra Experience with Oracle CRS (installation/configuration/maintenance) Expertise with custom AutoYaST and Kickstart deployments SOX/PCI Compliance Management For more information or to view other opportunities, visit us at . Paladin is an EEOC employer.
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/27/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Find out why eX cell is the employer of choice for contractors! Join e X cell and enjoy our generous employee benefits! Our client has a brand new opportunity for a Level 2 Backup Administrator to join their team in Louisville, KY. This resource can be onsite or remote but must work EST hours, from 3pm to 12am, Monday to Friday. This role will function as a Junior Engineer in a managed services environment supporting a variety of customers ranging from medium size business to large enterprise. Duties and Responsibilities: Support a variety of backup configurations and platforms Perform routine systems maintenance, upgrades, and administration Responsible for development, documentation, and standardizing preventative maintenance routines to ensure system availability and performance standards on production systems Troubleshoot incidents and provide resolution within defined service level agreements (SLAs) Communicate effectively with Backup Team Lead / IT Systems managers and within infrastructure teams Schedule and enable backup based on standardized procedures detailed in the Operational Run Book and to meet customer agreed upon standards Proactively monitor and report performance utilization of backup technologies Capacity planning and road mapping to keep the backup infrastructure in 'evergreen' mode Configuration, layout, and performance tuning of backup infrastructure Provide analysis of Environment and Best Practice knowledge transfer Perform necessary backup infrastructure maintenance in accordance with customer's change management policies Ensure that the backup technologies are updated with current, stable, and compliant architecture that meets enterprise standards Generate regular operations reports using storage vendor's supplied tools Follow ITIL (Information Technology Infrastructure Library) practices for Change Management Participate in Root Cause Analysis reviews when applicable Active participation in Disaster Recovery planning and exercises when required Skills and Qualifications: Bachelors degree preferred in Computer Science or equivalent experience Minimum 3+ years of experience in a Backup Infrastructure hardware and software environment Experience with EMC, Veeam, Cohesity and other Content Addressable Storage products Special Certifications: ITIL v3 or ITILv4 Backup Technology specific certifications Good understanding of data center backup infrastructure(s), VTL and Cloud Storage UNIX, Linux, and Windows server operating system skills including the ability to write and troubleshoot shell scripts Knowledge of job associated database / software / documentation backups Knowledge of Avamar, Data Domain, EMC Networker, NetBackup, CommVault, Veeam, Cohesity Familiarity with VMware, other virtualization technologies, and Cloud technologies Knowledge of job associated programming and scripting languages Possesses strong product / technology / industry knowledge Problem solver with troubleshooting, decision making, and analytical skills Able to work and interact with others in a structured / team environment Flexibility and adaptability to handle competing work demands Excellent verbal and written communication skills Ability to work flexible hours and be on-call ServiceNow functionality and usability Full COVID-19 vaccination may be required. We offer a comprehensive benefit package that you can elect into including but not limited to: Health Insurance (Medical, Vision, Dental), 401k, Basic Life/AD&D, Supplemental Insurances Plans, Paid Time Off Plan, Paid Holiday, Paid Sick Leave plan, FSA/HSA Pre-Tax Benefits, Employee Discounts. W2 only, no Corp to Corp. We are unable to sponsor H1B visas at this time. eX cell Supports Equal Employment Opportunity e X cell , a division of CompuCom Systems, Inc., a global company headquartered in Bellevue, Washington, provides IT staffing services and solutions to Fortune 1000 companies as well as small and medium business. For more information, visit .
04/26/2024
Full time
Find out why eX cell is the employer of choice for contractors! Join e X cell and enjoy our generous employee benefits! Our client has a brand new opportunity for a Level 2 Backup Administrator to join their team in Louisville, KY. This resource can be onsite or remote but must work EST hours, from 3pm to 12am, Monday to Friday. This role will function as a Junior Engineer in a managed services environment supporting a variety of customers ranging from medium size business to large enterprise. Duties and Responsibilities: Support a variety of backup configurations and platforms Perform routine systems maintenance, upgrades, and administration Responsible for development, documentation, and standardizing preventative maintenance routines to ensure system availability and performance standards on production systems Troubleshoot incidents and provide resolution within defined service level agreements (SLAs) Communicate effectively with Backup Team Lead / IT Systems managers and within infrastructure teams Schedule and enable backup based on standardized procedures detailed in the Operational Run Book and to meet customer agreed upon standards Proactively monitor and report performance utilization of backup technologies Capacity planning and road mapping to keep the backup infrastructure in 'evergreen' mode Configuration, layout, and performance tuning of backup infrastructure Provide analysis of Environment and Best Practice knowledge transfer Perform necessary backup infrastructure maintenance in accordance with customer's change management policies Ensure that the backup technologies are updated with current, stable, and compliant architecture that meets enterprise standards Generate regular operations reports using storage vendor's supplied tools Follow ITIL (Information Technology Infrastructure Library) practices for Change Management Participate in Root Cause Analysis reviews when applicable Active participation in Disaster Recovery planning and exercises when required Skills and Qualifications: Bachelors degree preferred in Computer Science or equivalent experience Minimum 3+ years of experience in a Backup Infrastructure hardware and software environment Experience with EMC, Veeam, Cohesity and other Content Addressable Storage products Special Certifications: ITIL v3 or ITILv4 Backup Technology specific certifications Good understanding of data center backup infrastructure(s), VTL and Cloud Storage UNIX, Linux, and Windows server operating system skills including the ability to write and troubleshoot shell scripts Knowledge of job associated database / software / documentation backups Knowledge of Avamar, Data Domain, EMC Networker, NetBackup, CommVault, Veeam, Cohesity Familiarity with VMware, other virtualization technologies, and Cloud technologies Knowledge of job associated programming and scripting languages Possesses strong product / technology / industry knowledge Problem solver with troubleshooting, decision making, and analytical skills Able to work and interact with others in a structured / team environment Flexibility and adaptability to handle competing work demands Excellent verbal and written communication skills Ability to work flexible hours and be on-call ServiceNow functionality and usability Full COVID-19 vaccination may be required. We offer a comprehensive benefit package that you can elect into including but not limited to: Health Insurance (Medical, Vision, Dental), 401k, Basic Life/AD&D, Supplemental Insurances Plans, Paid Time Off Plan, Paid Holiday, Paid Sick Leave plan, FSA/HSA Pre-Tax Benefits, Employee Discounts. W2 only, no Corp to Corp. We are unable to sponsor H1B visas at this time. eX cell Supports Equal Employment Opportunity e X cell , a division of CompuCom Systems, Inc., a global company headquartered in Bellevue, Washington, provides IT staffing services and solutions to Fortune 1000 companies as well as small and medium business. For more information, visit .
Locations: NY - New York, United States of America, New York, New York Distinguished Engineer, Generative AI Systems (Remote-Eligible) Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/26/2024
Full time
Locations: NY - New York, United States of America, New York, New York Distinguished Engineer, Generative AI Systems (Remote-Eligible) Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community! Meijer Rewards Weekly pay Scheduling flexibility Paid parental leave Paid education assistance care assistance Team member discount Development programs for advancement and career growth Please review the job profile below and apply today! The Platform / Systems Engineer works as an integral part of an Agile team to ensure sound system design and architecture. This position collaborates with business customers, IT leadership, developers, and other stakeholders to assess server, Linux and container technologies. Specific focus on Linux (Red Hat, preferred) and Kubernetes (OpenShift, preferred). The Platform / Systems Engineer will work with a team to implement and maintain Linux and Container infrastructure environments. This position will also collaborate with domain architects on architectural runway, and own the application release process What You'll be Doing: Developing, designing, and implementing in lab and production Linux or container solutions which meet the business need. Assist with support and maintenance for deployed servers, containers, and applications. Consult with the domain architect to develop the Architectural Runway in support of new business Features and Capabilities Provide oversight and foster an environment with Built-In Quality and a focus on automation Create systems and applications with a focus on monitoring to maintain system availability Participate with customers and vendors in planning, definition, and high-level design of the IT solution and explore solution alternatives. Work with portfolio stakeholders, notably the Enterprise Architect, to develop, analyze, split, and realize the implementation of enabler epics. Collaborates with Systems Architects, other Systems Engineers, and the infrastructure team to develop the Architectural Runway to support development of system features. Actively participates in all Agile ceremonies. This job role may also provide facilitation of activities for Agile teams within Meijer ITS as acting scrum master. This job profile is not intended to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required. What You Bring with You (Qualifications): Bachelor's degree OR 12 years' experience (or comparable combination of education and related experience). Any SAFe certification 6+ years' experience in software or application engineering and IT support required. Demonstrated proficiency in release management. Excellent communication skills. Experience on multiple project teams in a cross-functional environment. Agile teams preferred. Knowledge and execution of Red Hat Openshift 4.10.+ Ability to manage manyedge OpenShift Clusters Excels in Ansible, RHACM, Bare metal Openshift deployments Able to automate all aspects of Openshift Active directory knowledge a plus Linux RHEL 7 & 8, Enterprise Storage and Backup knowledge a plus Knowledge and execution of various Agile approaches, such as test-driven development, Dev Ops, emergent design, continuous integration and release management. Strong knowledge of development tools, coding languages, and testing or strong business knowledge with hands on experience managing vendor package configuration and implementation. Proficient in multiple technologies or systems. Strong knowledge and understanding of structured analysis and technical design techniques. Strong analytical and problem-solving skills. Strong team-oriented interpersonal and communication skills. Knowledge of agile practices in a cross-functional environment preferred. Ability to effectively adapt to rapidly changing technology and apply it to business needs.
04/26/2024
Full time
As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community! Meijer Rewards Weekly pay Scheduling flexibility Paid parental leave Paid education assistance care assistance Team member discount Development programs for advancement and career growth Please review the job profile below and apply today! The Platform / Systems Engineer works as an integral part of an Agile team to ensure sound system design and architecture. This position collaborates with business customers, IT leadership, developers, and other stakeholders to assess server, Linux and container technologies. Specific focus on Linux (Red Hat, preferred) and Kubernetes (OpenShift, preferred). The Platform / Systems Engineer will work with a team to implement and maintain Linux and Container infrastructure environments. This position will also collaborate with domain architects on architectural runway, and own the application release process What You'll be Doing: Developing, designing, and implementing in lab and production Linux or container solutions which meet the business need. Assist with support and maintenance for deployed servers, containers, and applications. Consult with the domain architect to develop the Architectural Runway in support of new business Features and Capabilities Provide oversight and foster an environment with Built-In Quality and a focus on automation Create systems and applications with a focus on monitoring to maintain system availability Participate with customers and vendors in planning, definition, and high-level design of the IT solution and explore solution alternatives. Work with portfolio stakeholders, notably the Enterprise Architect, to develop, analyze, split, and realize the implementation of enabler epics. Collaborates with Systems Architects, other Systems Engineers, and the infrastructure team to develop the Architectural Runway to support development of system features. Actively participates in all Agile ceremonies. This job role may also provide facilitation of activities for Agile teams within Meijer ITS as acting scrum master. This job profile is not intended to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required. What You Bring with You (Qualifications): Bachelor's degree OR 12 years' experience (or comparable combination of education and related experience). Any SAFe certification 6+ years' experience in software or application engineering and IT support required. Demonstrated proficiency in release management. Excellent communication skills. Experience on multiple project teams in a cross-functional environment. Agile teams preferred. Knowledge and execution of Red Hat Openshift 4.10.+ Ability to manage manyedge OpenShift Clusters Excels in Ansible, RHACM, Bare metal Openshift deployments Able to automate all aspects of Openshift Active directory knowledge a plus Linux RHEL 7 & 8, Enterprise Storage and Backup knowledge a plus Knowledge and execution of various Agile approaches, such as test-driven development, Dev Ops, emergent design, continuous integration and release management. Strong knowledge of development tools, coding languages, and testing or strong business knowledge with hands on experience managing vendor package configuration and implementation. Proficient in multiple technologies or systems. Strong knowledge and understanding of structured analysis and technical design techniques. Strong analytical and problem-solving skills. Strong team-oriented interpersonal and communication skills. Knowledge of agile practices in a cross-functional environment preferred. Ability to effectively adapt to rapidly changing technology and apply it to business needs.
Description NetApp & Pure Storage (NAS), Lustre experience is nice to have. Provide technical leadership and is responsible for the development of new storage infrastructure and Information Lifecycle Managment designs, including requirements and analysis. Performs end to end analysis on the performance of the storage infrastructure, presents findings, and submits recommendations for improvement. Requirements Work requires an active TS/SCI w/ poly security clearance
04/26/2024
Full time
Description NetApp & Pure Storage (NAS), Lustre experience is nice to have. Provide technical leadership and is responsible for the development of new storage infrastructure and Information Lifecycle Managment designs, including requirements and analysis. Performs end to end analysis on the performance of the storage infrastructure, presents findings, and submits recommendations for improvement. Requirements Work requires an active TS/SCI w/ poly security clearance
Schlumberger Technology Corporation seeks a RP Wellsite Architect, EdgeOS Lead to work in Katy, TX JOB DESCRIPTION: Create and deploy hardware and software solutions in the unique challenges of the Oil and Gas environment, such as low bandwidth, intermittent connectivity, rugged environmental conditions, and power constraints. Evaluate, create, compose and commercialize fit for purpose computer, network, hardware sensors and actuators infrastructure which will need to fit into cloud and edge infrastructure and enable all field requirement in term of portability, hardware reliability and usability by field technician and field operators. It will have to be able to cope with wireline guided, assisted and autonomous workflows in addition to ensuring cybersecurity compliance with the industry standard. Furthermore, system will need to be open to onboarding 3 rd party apps able to enhance field value proposition which requires comprehensive oil and gas background with previous experience in projects in this field. Understand the development/design process for those devices and an understanding of the trade-offs. Be able to read electrical schematics with a background in embedded systems programming. Be familiar with commercial computer/server hardware architecture. Utilize Kubernetes orchestration for cloud on edge systems and have a deep understanding of the principles behind it, including scaling, packaging, and deploying of applications on distributed infrastructure. Create and manage edge-node Kubernetes clusters using Rancher for centralized management. Manage and monitor edge infrastructure and applications centrally, working with open-source monitoring tools such as Prometheus, Grafana, and ELK stack. Design edge-infrastructure to work in both online and offline environments. Utilize virtualization technologies including KubeVirt, Linux kernel virtual machine (KVM) and Hyper-V. Create build-pipelines and employ GitOps to automate software building, testing and deployment, with proficiency in DevOps methodologies and tools such as Azure DeveOps and Jenkins. Use automation technologies such as Terraform and Ansible for infrastructure deployment, with proficiency in IaC (Infrastructure as Code) and CI/CD (Continuous Integration/Continuous Deployment) practices. Create Kubernetes applications in resource-constrained environments, developing microservices and containerization of legacy applications. Deploy algorithms on edge-infrastructure with real-time monitoring, and expertise in pub/sub technologies, such as Apache Kafka, ZeroMQ and RabbitMQ. Work with pub/sub systems for message communications among microservices, with knowledge of message brokers, such as MQTT Mosquito and RabbitMQ. Work with Bash, Python, Go, Java and .Net. Debug and profile programs with proficiency. Understand software architecture and the trade-offs between different approaches. Troubleshoot issues with field users and perform network troubleshooting, with network protocols, such as TCP/IP, UDP, HTTPS, DNS. Work with hardware protocols such as Modbus, CAN bus, OPC or similar protocols. Ensure security of edge-devices and perform security scanning of software, with knowledge of secure coding practices, encryption, and authentication. Manage secrets on devices using a centralized approach, with knowledge of secrets management tools, such as HashiCorp Vault. Apply authentication and identity management in cloud providers such as Google Cloud and Azure. Evaluate new technologies for potential incorporation in the software infrastructure ecosystem, with knowledge of emerging trends in cloud computing, IoT, AI/ML, and cybersecurity. Collaborate with architects to standardize common infrastructure for business needs and have excellent communication and leadership skills to drive the adoption of new technologies and processes. Consult with program and project managers on the realization of edge applications, with excellent project management skills and experience in creating and realizing project plans and schedules. Manage a team of software, system, and full stack developers, with experience in agile project management methodologies and techniques. Implement architectural improvements to infrastructure, with knowledge of architectural patterns and anti-patterns, and their trade-offs in terms of scalability, maintainability, and cost. Work with field teams globally deployed in order to validate and adjust developed technologies. Need to understand how field operations works and be able to interact efficiently with sustaining, operation and operation integrity field teams. Follow field test and ensure product is able to deliver all committed features and capabilities. Guide edge infrastructure choices using deep understanding of Linux systems and computer architecture, including low-level knowledge of Linux system composition and operations, including networking, storage, and memory management. MINIMUM EDUCATION: PhD in Computer Engineering or related specialty. MINIMUM EXPERIENCE: 5 years (60 months) as Software Engineer or related occupation. SPECIAL REQUIREMENTS/SKILLS: 5 years as Software Engineer or related occupation working with cybersecurity, software, hypervisor, connectivity, hardware, and Field Delivery workflow for wireline, testing, slickline. 5 years as Software Engineer or related occupation working with a field project in the oil and gas industry with the following skills: Knowledge of programming languages such as C/C++, Java, Python Knowledge of Linux system administration and Linux network troubleshooting Must have previous experience in technology research and broad solution selection in the field of AI, ML and cybersecurity Experience with different processing architectures including CPU, GPU and FPGA Experience developing embedded systems Background or experience with device electronics Experience in software-hardware product development Experience working with an international team and supported oil & gas field operations, and involving interdisciplinary projects In charge of issue tracking in digital product Knowledge of Kubernetes, Rancher, Terraform, docker, hypervisor, messaging systems. MAY TELECOMMUTE
04/26/2024
Full time
Schlumberger Technology Corporation seeks a RP Wellsite Architect, EdgeOS Lead to work in Katy, TX JOB DESCRIPTION: Create and deploy hardware and software solutions in the unique challenges of the Oil and Gas environment, such as low bandwidth, intermittent connectivity, rugged environmental conditions, and power constraints. Evaluate, create, compose and commercialize fit for purpose computer, network, hardware sensors and actuators infrastructure which will need to fit into cloud and edge infrastructure and enable all field requirement in term of portability, hardware reliability and usability by field technician and field operators. It will have to be able to cope with wireline guided, assisted and autonomous workflows in addition to ensuring cybersecurity compliance with the industry standard. Furthermore, system will need to be open to onboarding 3 rd party apps able to enhance field value proposition which requires comprehensive oil and gas background with previous experience in projects in this field. Understand the development/design process for those devices and an understanding of the trade-offs. Be able to read electrical schematics with a background in embedded systems programming. Be familiar with commercial computer/server hardware architecture. Utilize Kubernetes orchestration for cloud on edge systems and have a deep understanding of the principles behind it, including scaling, packaging, and deploying of applications on distributed infrastructure. Create and manage edge-node Kubernetes clusters using Rancher for centralized management. Manage and monitor edge infrastructure and applications centrally, working with open-source monitoring tools such as Prometheus, Grafana, and ELK stack. Design edge-infrastructure to work in both online and offline environments. Utilize virtualization technologies including KubeVirt, Linux kernel virtual machine (KVM) and Hyper-V. Create build-pipelines and employ GitOps to automate software building, testing and deployment, with proficiency in DevOps methodologies and tools such as Azure DeveOps and Jenkins. Use automation technologies such as Terraform and Ansible for infrastructure deployment, with proficiency in IaC (Infrastructure as Code) and CI/CD (Continuous Integration/Continuous Deployment) practices. Create Kubernetes applications in resource-constrained environments, developing microservices and containerization of legacy applications. Deploy algorithms on edge-infrastructure with real-time monitoring, and expertise in pub/sub technologies, such as Apache Kafka, ZeroMQ and RabbitMQ. Work with pub/sub systems for message communications among microservices, with knowledge of message brokers, such as MQTT Mosquito and RabbitMQ. Work with Bash, Python, Go, Java and .Net. Debug and profile programs with proficiency. Understand software architecture and the trade-offs between different approaches. Troubleshoot issues with field users and perform network troubleshooting, with network protocols, such as TCP/IP, UDP, HTTPS, DNS. Work with hardware protocols such as Modbus, CAN bus, OPC or similar protocols. Ensure security of edge-devices and perform security scanning of software, with knowledge of secure coding practices, encryption, and authentication. Manage secrets on devices using a centralized approach, with knowledge of secrets management tools, such as HashiCorp Vault. Apply authentication and identity management in cloud providers such as Google Cloud and Azure. Evaluate new technologies for potential incorporation in the software infrastructure ecosystem, with knowledge of emerging trends in cloud computing, IoT, AI/ML, and cybersecurity. Collaborate with architects to standardize common infrastructure for business needs and have excellent communication and leadership skills to drive the adoption of new technologies and processes. Consult with program and project managers on the realization of edge applications, with excellent project management skills and experience in creating and realizing project plans and schedules. Manage a team of software, system, and full stack developers, with experience in agile project management methodologies and techniques. Implement architectural improvements to infrastructure, with knowledge of architectural patterns and anti-patterns, and their trade-offs in terms of scalability, maintainability, and cost. Work with field teams globally deployed in order to validate and adjust developed technologies. Need to understand how field operations works and be able to interact efficiently with sustaining, operation and operation integrity field teams. Follow field test and ensure product is able to deliver all committed features and capabilities. Guide edge infrastructure choices using deep understanding of Linux systems and computer architecture, including low-level knowledge of Linux system composition and operations, including networking, storage, and memory management. MINIMUM EDUCATION: PhD in Computer Engineering or related specialty. MINIMUM EXPERIENCE: 5 years (60 months) as Software Engineer or related occupation. SPECIAL REQUIREMENTS/SKILLS: 5 years as Software Engineer or related occupation working with cybersecurity, software, hypervisor, connectivity, hardware, and Field Delivery workflow for wireline, testing, slickline. 5 years as Software Engineer or related occupation working with a field project in the oil and gas industry with the following skills: Knowledge of programming languages such as C/C++, Java, Python Knowledge of Linux system administration and Linux network troubleshooting Must have previous experience in technology research and broad solution selection in the field of AI, ML and cybersecurity Experience with different processing architectures including CPU, GPU and FPGA Experience developing embedded systems Background or experience with device electronics Experience in software-hardware product development Experience working with an international team and supported oil & gas field operations, and involving interdisciplinary projects In charge of issue tracking in digital product Knowledge of Kubernetes, Rancher, Terraform, docker, hypervisor, messaging systems. MAY TELECOMMUTE
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/26/2024
Full time
Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Plan and execute capital project field construction activities in accordance with applicable premises, approved work processes, and standards in a safe, efficient, cost effective manner. Pre-Final Investment Decision Participates in Front End Development. Provides construction expertise and direction/input/concurrence for: Risk identification and mitigation Estimate/Schedule development/Validation QA/QC Assurance Contracting and procurement strategy development Constructability (e.g. modular construction opportunities, tie-ins) Maintainability (e.g. proper equipment access, workspace for maintenance activities) Construction Execution Planning (including Logistics planning, e.g. receiving and storage of equipment and materials, transportation and housing of workforce) Is accountable/responsible for: Construction execution plan development QA/QC Project Assurance Constructability and maintainability plans HSE in construction Construction contracting strategy development Construction schedule development . Execute Phase (FID) Is accountable / responsible for: Project performance (Safety, environmental, quality, cost, and schedule) Construction execution plan implementation Construction schedule development QA/QC Project Assurance Constructability and maintainability implementation HSE in construction Construction contracting strategy implementation Leads and documents Construction Status meetings and suggests appropriate measures to mitigate construction issues and obstacles to project progress. (typically weekly) Accountable for the planning and execution of project construction Construction performance (Safety, environmental, quality, cost, and schedule) Construction execution plan implementation Construction schedule development QA/QC implementation for field fabrication and installation Constructability and maintainability implementation Construction contracting strategy development and implementation No direct staff or direct reports. Functional Leadership of all oter assigned discipline support and Contractor resources that impacts the technical integrity and general quality of project field construction. Skilled in application of all project work processes Works effectively in a Team environment and builds consensus Computer skills - PowerPoint, Word, Excel, Outlook, Visio, SAP Leadership and coaching skills Conflict Management Knowledge and understanding of Primavera (P6) Delivering results through others Analyze and solve problems HSSE Leadership and Commitment Identify and manage project risks Manage cost, schedule and resource plan Implement and coordinate QA/QC requirements Assists with operational readiness & assurance processes including commissioning and start-up With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
04/25/2024
Contractor
Plan and execute capital project field construction activities in accordance with applicable premises, approved work processes, and standards in a safe, efficient, cost effective manner. Pre-Final Investment Decision Participates in Front End Development. Provides construction expertise and direction/input/concurrence for: Risk identification and mitigation Estimate/Schedule development/Validation QA/QC Assurance Contracting and procurement strategy development Constructability (e.g. modular construction opportunities, tie-ins) Maintainability (e.g. proper equipment access, workspace for maintenance activities) Construction Execution Planning (including Logistics planning, e.g. receiving and storage of equipment and materials, transportation and housing of workforce) Is accountable/responsible for: Construction execution plan development QA/QC Project Assurance Constructability and maintainability plans HSE in construction Construction contracting strategy development Construction schedule development . Execute Phase (FID) Is accountable / responsible for: Project performance (Safety, environmental, quality, cost, and schedule) Construction execution plan implementation Construction schedule development QA/QC Project Assurance Constructability and maintainability implementation HSE in construction Construction contracting strategy implementation Leads and documents Construction Status meetings and suggests appropriate measures to mitigate construction issues and obstacles to project progress. (typically weekly) Accountable for the planning and execution of project construction Construction performance (Safety, environmental, quality, cost, and schedule) Construction execution plan implementation Construction schedule development QA/QC implementation for field fabrication and installation Constructability and maintainability implementation Construction contracting strategy development and implementation No direct staff or direct reports. Functional Leadership of all oter assigned discipline support and Contractor resources that impacts the technical integrity and general quality of project field construction. Skilled in application of all project work processes Works effectively in a Team environment and builds consensus Computer skills - PowerPoint, Word, Excel, Outlook, Visio, SAP Leadership and coaching skills Conflict Management Knowledge and understanding of Primavera (P6) Delivering results through others Analyze and solve problems HSSE Leadership and Commitment Identify and manage project risks Manage cost, schedule and resource plan Implement and coordinate QA/QC requirements Assists with operational readiness & assurance processes including commissioning and start-up With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/24/2024
Full time
Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems At least 6 years of experience developing AI and ML algorithms in Python or C/C++ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/24/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Description Responsible for the governance and oversight of the technology that comprises the Data Center and office infrastructure. Fulfills lead technical role for the Data Center team, engaging with CME architecture and vendor partners to evaluate effectiveness of existing network, evaluate new technology, and establish future direction. Principal Accountabilities: • Have an understanding of all the Data Center specific hardware / material. • Knowledge of all parts to fully spec, assemble and test structured cabling between any 10g - 40G - 100g application for day to day use and specific to trading platforms. (Fiber, Copper, Coax, etc ) • Full working knowledge of all cabinet level hardware, and industry standard cable management, documentation, and labeling standards / best practices. • Ability to distinguish the difference between all available power options at the cabinet level, and the ability calculate full cabinet and RPP loads. • Understanding of the different trades required to complete low and high voltage work with in a data center. • Have the fundamental networking skills needed to troubleshoot and configure a variety of network devices. (subnetting, vlans, etc.) • Experience troubleshooting server OS, hardware (memory, motherboards, storage) and connectivity issues. • Leadership: Demonstrates ability to lead a team of folks that are either direct or indirect reports with guidance from lead. Ability to mentor and lead peers on initiatives. Takes ownership of initiatives with little to no guidance. • Software and Hardware: Maintains and supports the hardware architecture and speak to all its components. • Support: Demonstrates ability to support a meeting request by setting up a bridge and video conferencing with no assistance. • Troubleshooting: Utilizes TMS to its fullest in support of the video conferencing environment. Demonstrates the ability to assist in project initiatives. • Demonstrates knowledge of equipment cabinet capacity as well as high and low voltage utilization calculations. • Participates in project assistance, interacting directly with internal and external customers. • Participates in the inventory auditing and purchasing process. • Participates in the QA and beta testing of all infrastructure applications. Skills & Software Requirements: • MS Office Suite, Intelligent Infrastructure (iPatch) • Inventory Control Software (RedBeam) • IT Asset Management Software (RF Code) • Environmental Monitoring Software (RF Code) • Security Surveillance Software (Genetec) • Cisco OS • AutoCAD • SolidWorks & SketchUp • Building Controls / Data center infrastructure management Tools (Siemens Data center Clarity) Schedule: Monday - Friday, 10AM - 6PM CME Group: Where Futures Are Made CME Group () is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone's perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic. The Candidate Privacy Policy can be found here.
04/24/2024
Full time
Description Responsible for the governance and oversight of the technology that comprises the Data Center and office infrastructure. Fulfills lead technical role for the Data Center team, engaging with CME architecture and vendor partners to evaluate effectiveness of existing network, evaluate new technology, and establish future direction. Principal Accountabilities: • Have an understanding of all the Data Center specific hardware / material. • Knowledge of all parts to fully spec, assemble and test structured cabling between any 10g - 40G - 100g application for day to day use and specific to trading platforms. (Fiber, Copper, Coax, etc ) • Full working knowledge of all cabinet level hardware, and industry standard cable management, documentation, and labeling standards / best practices. • Ability to distinguish the difference between all available power options at the cabinet level, and the ability calculate full cabinet and RPP loads. • Understanding of the different trades required to complete low and high voltage work with in a data center. • Have the fundamental networking skills needed to troubleshoot and configure a variety of network devices. (subnetting, vlans, etc.) • Experience troubleshooting server OS, hardware (memory, motherboards, storage) and connectivity issues. • Leadership: Demonstrates ability to lead a team of folks that are either direct or indirect reports with guidance from lead. Ability to mentor and lead peers on initiatives. Takes ownership of initiatives with little to no guidance. • Software and Hardware: Maintains and supports the hardware architecture and speak to all its components. • Support: Demonstrates ability to support a meeting request by setting up a bridge and video conferencing with no assistance. • Troubleshooting: Utilizes TMS to its fullest in support of the video conferencing environment. Demonstrates the ability to assist in project initiatives. • Demonstrates knowledge of equipment cabinet capacity as well as high and low voltage utilization calculations. • Participates in project assistance, interacting directly with internal and external customers. • Participates in the inventory auditing and purchasing process. • Participates in the QA and beta testing of all infrastructure applications. Skills & Software Requirements: • MS Office Suite, Intelligent Infrastructure (iPatch) • Inventory Control Software (RedBeam) • IT Asset Management Software (RF Code) • Environmental Monitoring Software (RF Code) • Security Surveillance Software (Genetec) • Cisco OS • AutoCAD • SolidWorks & SketchUp • Building Controls / Data center infrastructure management Tools (Siemens Data center Clarity) Schedule: Monday - Friday, 10AM - 6PM CME Group: Where Futures Are Made CME Group () is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone's perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic. The Candidate Privacy Policy can be found here.
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/24/2024
Full time
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Sr. Lead Engineer, Generative AI Infrastructure to help us build the foundations of our AI capabilities. You will work on a wide range of initiatives, whether that's building large-scale distributed training clusters, or deploying LLMs on GPU instances for real-time applications and decisioning systems, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work closely with our cloud and container infrastructure teams as well as our world-class team of AI researchers to design and implement key capabilities. Examples of projects you will work on: Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud. Build infrastructure for deploying search indexes and embeddings in vector databases that will work closely with the rest of our capabilities. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 8 years of experience designing and building data-intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience with HPCs, vector embedding, or semantic search technologies At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field. Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities. Familiarity with deploying large neural network models in demanding production environments. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Good Day! NES Fircroft is happy to announce a new Warehouse Associate position available in Linden, NJ. If this role sounds like a good fit for you or anyone you know, please reach out to Will Goode at . Key Details: Location: Linden, NJ Hours: 40-50 hrs per week Pay Range: $26-29 per hour Contract Duration: 1 year with possibility of permanent Responsibilities: â Perform Goods receipts, issues, and any other necessary financial transactions using SAP. Maintain receiving logs and shipping logs using Excel. â Navigate through SAP/EWM Applications and interpret reporting to manage inventory or work error resolution. Manage warehouse transactions with RF Mobilizer. â Verifying by visual and technical inspection all incoming purchases in accordance to purchase order specifications and conformance with refining practices as specified. Tagging of all incoming materials with bar-coded labels is required for inspection and locating. Performs Goods Receipt processes in accordance with Phillips 66 best practices. â Locating all incoming stock and non-stock materials to appropriate bin locations or specified storage areas after receipt verification via bar-coded tags. Determining methods of storage, identification, and stock location, considering commodity, temperature, humidity, height and weight limits, turnover, floor loading capacities, and required space. â Delivering stock and non-stock materials to designated areas via forklift, truck, or walking. Pick requested stock materials via electronic pick lists or verbal, emergency requests. Delivering to specified areas may be required. Picking is done manually, in accordance to weight/body limitations, order picker, hand truck, or forklift. â Shipping out repairable materials or nonconformance receipts using Phillips 66 Navisphere program via vendor trucks, hot shots, UPS, airfreight, or motor freight in accordance with specified procedures i.e., MSDS, bill of ladings, return authorizations, approved purchase orders, and approved vendor/manufacturer's listings. Perform required SAP transaction s for Refurbished Equipment and Repairable items. â Daily cycle counting in accordance with specified area procedures to assure accurate inventories. Compiling and reconciling exception reports based on discrepancies due to shortages, overages, damages, or system inaccuracies. â Requisitions non-stock inventory items periodically. â Good oral and written communication skills pertaining to documenting product and process information â Good judgment and ability to make decisions independently when necessary â Ability to budget time, set priorities and allocate appropriate amount of time for own activities with the ability to multi-task â Shares knowledge and information with co-workers in a way that leads to effective completion of work across shifts â Accepts ownership, responsibility and delivers on commitments â Promotes teamwork and housekeeping efforts Necissary Qualifications: â High School Diploma or GED equivalent â Ability to obtain a TWIC ( Transportation Worker Identification Card) â Ability to operate a forklift and become certified. â Willing and able to perform/comply, with or without a reasonable accommodation, with the following: o Wear all required personal protective equipment (PPE) o Lift up to 50 pounds o While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop; kneel; crouch; or crawl and talk or hear o Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and able to adjust focus, in particular when operating forklift and order picker PREFERRED QUALIFICATIONS â Working knowledge of computerized inventory tracking systems such as SAP. â High School Diploma or GED equivalent â Ability to obtain a TWIC ( Transportation Worker Identification Card) â Ability to operate a forklift and become certified. â Willing and able to perform/comply, with or without a reasonable accommodation, with the following: o Wear all required personal protective equipment (PPE) o Lift up to 50 pounds o While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop; kneel; crouch; or crawl and talk or hear o Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and able to adjust focus, in particular when operating forklift and order picker â Working knowledge of computerized inventory tracking systems such as SAP. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
04/24/2024
Contractor
Good Day! NES Fircroft is happy to announce a new Warehouse Associate position available in Linden, NJ. If this role sounds like a good fit for you or anyone you know, please reach out to Will Goode at . Key Details: Location: Linden, NJ Hours: 40-50 hrs per week Pay Range: $26-29 per hour Contract Duration: 1 year with possibility of permanent Responsibilities: â Perform Goods receipts, issues, and any other necessary financial transactions using SAP. Maintain receiving logs and shipping logs using Excel. â Navigate through SAP/EWM Applications and interpret reporting to manage inventory or work error resolution. Manage warehouse transactions with RF Mobilizer. â Verifying by visual and technical inspection all incoming purchases in accordance to purchase order specifications and conformance with refining practices as specified. Tagging of all incoming materials with bar-coded labels is required for inspection and locating. Performs Goods Receipt processes in accordance with Phillips 66 best practices. â Locating all incoming stock and non-stock materials to appropriate bin locations or specified storage areas after receipt verification via bar-coded tags. Determining methods of storage, identification, and stock location, considering commodity, temperature, humidity, height and weight limits, turnover, floor loading capacities, and required space. â Delivering stock and non-stock materials to designated areas via forklift, truck, or walking. Pick requested stock materials via electronic pick lists or verbal, emergency requests. Delivering to specified areas may be required. Picking is done manually, in accordance to weight/body limitations, order picker, hand truck, or forklift. â Shipping out repairable materials or nonconformance receipts using Phillips 66 Navisphere program via vendor trucks, hot shots, UPS, airfreight, or motor freight in accordance with specified procedures i.e., MSDS, bill of ladings, return authorizations, approved purchase orders, and approved vendor/manufacturer's listings. Perform required SAP transaction s for Refurbished Equipment and Repairable items. â Daily cycle counting in accordance with specified area procedures to assure accurate inventories. Compiling and reconciling exception reports based on discrepancies due to shortages, overages, damages, or system inaccuracies. â Requisitions non-stock inventory items periodically. â Good oral and written communication skills pertaining to documenting product and process information â Good judgment and ability to make decisions independently when necessary â Ability to budget time, set priorities and allocate appropriate amount of time for own activities with the ability to multi-task â Shares knowledge and information with co-workers in a way that leads to effective completion of work across shifts â Accepts ownership, responsibility and delivers on commitments â Promotes teamwork and housekeeping efforts Necissary Qualifications: â High School Diploma or GED equivalent â Ability to obtain a TWIC ( Transportation Worker Identification Card) â Ability to operate a forklift and become certified. â Willing and able to perform/comply, with or without a reasonable accommodation, with the following: o Wear all required personal protective equipment (PPE) o Lift up to 50 pounds o While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop; kneel; crouch; or crawl and talk or hear o Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and able to adjust focus, in particular when operating forklift and order picker PREFERRED QUALIFICATIONS â Working knowledge of computerized inventory tracking systems such as SAP. â High School Diploma or GED equivalent â Ability to obtain a TWIC ( Transportation Worker Identification Card) â Ability to operate a forklift and become certified. â Willing and able to perform/comply, with or without a reasonable accommodation, with the following: o Wear all required personal protective equipment (PPE) o Lift up to 50 pounds o While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop; kneel; crouch; or crawl and talk or hear o Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and able to adjust focus, in particular when operating forklift and order picker â Working knowledge of computerized inventory tracking systems such as SAP. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.