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

- Design and develop the migration solution for existing patient predictive models into the new analytical rework framework
- Architect the model transition approach to ensure data integrity and prediction accuracy
- Implement MLOps practices for model lifecycle management and monitoring
- Execute the transition of all in-scope patient models to AWS-native ML services
- Validate migrated models against baseline performance metrics
- Ensure operational continuity throughout the migration process
- Design and implement agentic and multi-agent workflow patterns
- Integrate GenAI and LLM capabilities into the analytical framework
- Develop automation for model training, evaluation, and deployment pipelines
- Lead team onboarding sessions for the new analytical framework




- Conduct comprehensive knowledge transfer sessions to support adoption
- Create documentation and training materials for operational handoff

Requirements

- 5+ years of experience in AI/ML engineering with strong expertise in Amazon Web Services (AWS)
- Deep background in data engineering
- Extensive skills in MLOps
- Strong qualifications in agentic workflows and multi-agent systems
- Solid expertise in Large Language Models (LLM) and GenAI
- High proficiency in Python
- English proficiency at B2 level or higher

Nice to have

- Familiarity with Amazon SageMaker
- Familiarity with AWS Bedrock
- Background in healthcare domain
- Experience in patient data analytics and predictive modeling

We offer

- International projects with top brands
- Work with integral teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Lead AI/ML Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina