Senior AI or ML Engineer - Azure, Python, GenAI
unitedhealthgroup
Job Description
- Design, build, and maintain production-quality Python services supporting ML and GenAI workflows (data preparation, training, evaluation, inference)
- Develop and deploy AI/ML solutions using Azure Machine Learning, including experiments, pipelines, model registration, and endpoints
- Design and implement Generative AI solutions, including LLM-based applications and Retrieval-Augmented Generation (RAG) patterns
- Lead model packaging, versioning, and deployment to secure, scalable endpoints
- Apply and evolve MLOps best practices, including CI/CD, automation, monitoring, reproducibility, and documentation
- Collaborate with data engineering, platform, and DevOps teams to integrate ML solutions into broader systems
- Review code, mentor junior engineers, and contribute to team standards and technical direction
- Communicate technical designs, tradeoffs, and results clearly to both engineering and non-engineering stakeholders
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so