UnitedHealth Group is looking to hire an AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions that integrate seamlessly into existing business tools, aiming to simplify the healthcare experience, create healthier communities, and remove barriers to quality care.
Requirements
- Proven experience deploying ML models into production environments
- Experience with MLOps tools and practices (e.g., MLFlow, Docker, CI/CD)
- Solid understanding of statistics, probability theory, and machine learning algorithms
- Familiarity with enterprise AI platforms such as UAIS or similar
- Solid proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)
- Proficiency with SQL
Responsibilities
- Translate proof-of-concept models into robust, production-grade software using modern ML engineering practices
- Apply advanced techniques including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR to solve business problems
- Build and maintain scalable data pipelines and model deployment frameworks using tools such as MLFlow, Docker, and UAIS
- Leverage statistical modeling, optimization, and experimental design to improve model performance and reliability
- Ensure compliance with internal governance standards and responsible AI practices
- Partner with Underwriting, Actuarial teams and liaise with IT teams to design, develop, and deploy scalable AI/ML solutions
- Ensure models are production-ready, compliant, and aligned with business goals
Other
- 4+ years of experience in AI/ML engineering or AI/ML data science
- Collaborate with business stakeholders to understand requirements and deliver AI/ML solutions that enhance decision-making and efficiency
- Present complex analytical concepts and model outcomes to leadership and cross-functional teams in a clear, actionable manner
- Experience in underwriting or actuarial domains, including risk scoring, pricing models, or claims analytics
- All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
