We are seeking a Lead AI/ML Engineer to drive the migration of patient predictive models into a new analytical rework framework, architect scalable ML solutions on AWS, and lead the implementation of agentic workflows powered by GenAI and LLM capabilities. This role combines hands-on technical leadership with team enablement, guiding the transition of critical healthcare models while ensuring data integrity, operational continuity, and adoption across the organization.
Responsibilities
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Design and develop the migration solution for existing patient predictive models into the new analytical rework framework
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Architect the model transition approach to ensure data integrity and prediction accuracy
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Implement MLOps practices for model lifecycle management and monitoring
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Execute the transition of all in-scope patient models to AWS-native ML services
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Validate migrated models against baseline performance metrics
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Ensure operational continuity throughout the migration process
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Design and implement agentic and multi-agent workflow patterns
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Integrate GenAI and LLM capabilities into the analytical framework
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Develop automation for model training, evaluation, and deployment pipelines
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Lead team onboarding sessions for the new analytical framework
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Conduct comprehensive knowledge transfer sessions to support adoption
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Create documentation and training materials for operational handoff
Requirements
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5+ years of experience in AI/ML engineering with strong expertise in Amazon Web Services (AWS)
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Deep background in data engineering
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Extensive skills in MLOps
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Strong qualifications in agentic workflows and multi-agent systems
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Solid expertise in Large Language Models (LLM) and GenAI
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High proficiency in Python
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English proficiency at B2 level or higher
Nice to have
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Familiarity with Amazon SageMaker
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Familiarity with AWS Bedrock
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Background in healthcare domain
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Experience in patient data analytics and predictive modeling
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
