Senior AI or ML Applied Scientist
unitedhealthgroup
Job Description
- Design, build, and evaluate machine learning models for prediction and classification problems using healthcare claims, clinical, and registration data
- Own assigned components of the model lifecycle end to end, from data exploration and feature engineering through training, evaluation, deployment, and post-production monitoring
- Write production-quality Python for data processing, model training, and inference, following sound software engineering practices including version control, testing, and code review
- Apply deep learning and transformer-based approaches where they outperform classical methods, and justify model selection with rigorous experimentation
- Build and evaluate generative AI and LLM-based components, including prompting, fine-tuning, and retrieval-augmented approaches, for applicable use cases
- Deploy models as production services or APIs in partnership with MLOps and engineering teams, and support them post-release
- Design and run experiments with clear evaluation metrics, baselines, and validation strategy, and communicate results and trade-offs clearly to technical and non-technical audiences
- Partner with product managers, data engineers, and business stakeholders to translate requirements into well-scoped modeling problems
- Contribute to model documentation, responsible AI practices, and AIRB and governance readiness for production deployment
- Scientist Responsibilities:
- Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
- 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