Machine Learning AI Software Engineer

*We are unable to sponsor as this is a permanent full time role*

A prestigious fortune 500 company is on the search for a Machine Learning AI Software Engineer. They are looking for someone with experience in deploying machine learning models in microservice architecture on a cloud environment. They need a minimum of 3-5 years full time hands-on machine learning or artificial intelligence software engineering experience and also need 3 years of Java experience.

Key Responsibilities

• Lead Applied Machine Learning software engineering technical competency
• Identify, research and realize key machine learning technical capabilities in the industry
• Lead design and build mid to high complexity machine learning systems
• building data pipelines in getting the data required to build and evaluate ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications.
• Apply applicable policies and standards while working toward specific objective.
• Independently directs implementation of new initiatives for machine learning technology solutions.
• Senior Machine Learning Engineer role- This is a senior Individual Contributor role not a manager

Job Qualifications

• Bachelor's Degree (MS+ is preferred) in Computer Science/Engineering or a related quantitative discipline.
• Minimum of 7+ years full time hands-on software engineering experience
• Minimum of 3-5 years full time hands-on machine learning or artificial intelligence software engineering experience
• 3+ years of experience with programming languages such as Python, Java.
• Experience in deploying machine learning models in microservice architecture on a cloud environment.
• Experience in building models for deep learning, speech recognition and natural language processing systems
• Experience using frameworks for machine learning and data science like scikit-learn, keras, pandas, numpy, XGBoost, TensorFlow, pytorch.
• Experience of software delivery practices including Git and CI/CD tools.