Associate AI/ML Engineer
unitedhealthgroup
Job Description
- AI/ML Solution Development
- Design, implement, and optimize AI and machine learning solutions, including statistical models, deep learning, and Generative AI systems
- Model Training, Evaluation & Optimization
- Execute proof‑of‑concepts, train models at scale, and baseline performance using quantitative evaluation metrics
- Platform & Infrastructure Engineering
- Build and operate large‑scale training and inference pipelines using Databricks, PySpark, and cloud platforms (AWS, Azure, GCP)
- Generative AI & Advanced Techniques
- Apply RAG, LangChain, and Vector Databases to develop GenAI solutions
- Optimize and quantize models to improve performance, scalability, and cost efficiency
- Software Engineering & APIs
- Develop REST and FastAPI services, containerize solutions using Docker, and integrate UI tools such as Streamlit or Flask
- Collaboration & Communication
- Partner with cross‑functional teams to translate business needs into clear, scalable AI solutions, and present insights effectively
- Leadership, Mentorship & Culture
- Mentor engineers, participate in design and architecture reviews, and uphold standards for quality, safety, and trust
- 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
- Mentor engineers, participate in design and architecture reviews, and uphold standards for quality, safety, and trust