Senior AI/ML Engineer
unitedhealthgroup
Job Description
- Design, develop, and deploy sophisticated machine learning models for production environments using supervised, unsupervised, reinforcement learning, deep learning, and advanced NLP techniques
- Build and optimize generative AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), transformer architectures, and agentic AI systems using frameworks like LangGraph and LangChain
- Deploy, fine-tune, and integrate LLMs from providers such as OpenAI, demonstrating expertise in prompt engineering, model customization, and optimization techniques
- Conduct comprehensive model testing, validation, and performance optimization using rigorous evaluation metrics to ensure production-grade quality and reliability
- Design and implement containerized AI/ML solutions using Docker and Kubernetes, establishing robust CI/CD pipelines with GitHub Actions for automated testing, validation, and deployment
- Leverage Azure and AWS services for AI/ML projects including Databricks, AKS/EKS, Azure Data Factory, Cognitive Services, and Logic Apps, managing system scaling and cloud migrations
- Collaborate with cross-functional teams to preprocess, analyze, and interpret extensive datasets; translate business requirements into scalable AI/ML solutions
- Identify and resolve code vulnerabilities, implement security best practices, and ensure compliance with AI/ML governance frameworks, ethics guidelines, and responsible AI practices
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements