Aroha Technologies

Job Title: Computer vision Data scientist Client: IBM (End client is in Electrical Domain) Rate: 45 $ Location: Remote Job Description: Strong experience in AI/ML and computer vision Models. Computer vision Data scientist

Job Tittle: Management Analyst III - Program Integrity Specialist Organization: State of Delaware - DSAMH Bureau/Unit: Executive Programs & Grant Administration (EPGA) Program: Statewide Opioid Response (SOR) Location: New Castle, DE (onsite - Springer Building) Employment Type: Temporary Contract (1 Year) Schedule: Monday - Friday 1st Shift 37.5 Hours/Week Position Summary The Program Integrity Specialist is a critical oversight role within the Statewide Opioid Response (SOR) grant program. You will be responsible for ensuring that all awarded providers and projects are operating with integrity, meeting contract deliverables, and adhering to strict grant requirements. This role combines analytical desk reviews with active field-based site visits to support project partners in overcoming implementation barriers and achieving successful outcomes. Key Responsibilities Compliance Auditing: Conduct planned and ad-hoc program integrity reviews of awarded providers to ensure adherence to grant requirements and executed agreements. Performance Monitoring: Perform detailed desk reviews of programmatic data to verify accuracy, completeness, and timeliness. Field Inspections: Conduct both virtual and in-person site visits to programs across the state to assess implementation and progress. Data Analysis: Review programmatic outcomes to identify progress, shortfalls, and specific technical assistance needs for partners. Fiscal Oversight: Support sub-grantee fiscal tracking and analysis for assigned projects in coordination with grant management and fiscal staff. Problem Solving: Partner with providers to troubleshoot implementation challenges and resolve barriers to project success. Inter-Agency Coordination: Collaborate with programmatic and grant management staff to ensure the overall integrity of grant-funded initiatives. Candidate Requirements Minimum Qualifications (Must have experience in at least one of the following): Project Management: Proven ability to coordinate complex initiatives and stakeholders. Program Monitoring: Experience in auditing, compliance, or performance evaluation. Grant Experience: Familiarity with grant-funded projects, reporting, or administration. Additional Skills & Requirements: Ability to interpret and analyze programmatic data outcomes. Excellent communication skills for professional reporting and statewide site visits. Travel Required: Must have the ability to travel across the state for in-person program reviews. Must be able to work a hybrid schedule based out of New Castle, DE. How to Apply Interested candidates should submit an updated resume to: Yashika Jaint Direct: Email: Aroha Technologies Inc.

Job Title: AI / ML Engineer Location: San Francisco Bay area Long Term Experience: 14+ Must Job Description Professional experience in an AI or Machine Learning engineering role at the capacity of Lead/ Architect. 3-5 years of professional experience in an AI or Machine Learning engineering role. Hands-on experience with LLM frameworks and tools like LangChain , LlamaIndex etc Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch. Hands-on experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying machine learning models. (GCP Preferred) Experience with generative AI and Large Language Models (LLMs). Proficiency in data analysis, statistical modeling, and machine learning theory. Experience with containerization technologies (e.g., Docker) and deploying models as APIs. Excellent communication skills and a proven ability to collaborate effectively in a team environment. Preferred Qualifications: Experience deploying models using API frameworks such as FastAPI or Flask. Knowledge of MLOps principles and tools for CI/CD, model monitoring, and lifecycle management. A portfolio of projects or contributions to open-source AI/ML libraries.