Senior Data Scientist

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.

Join us to start Caring. Connecting. Growing together. We are looking for an ML Engineer responsible for designing and building scalable ML/LLM inference platforms across AWS and Azure.

Primary Responsibilities

• Build and maintain production ML/LLM inference pipelines
• Deploy and manage ML workloads on Kubernetes, EKS, and AKS Build scalable inference services using vLLM and REST APIs
• Design event-driven and asynchronous architectures using queues and messaging services Develop CI/CD pipelines for ML models and inference services
• Manage model versioning, deployment, promotion, rollback, and release workflows
• Optimize inference for GPU utilization, latency, throughput, reliability, and cost
• Review peer code, architecture, and technical designs and drive engineering best practices
• Work closely with Data Scientists, Platform/Cloud teams, and leadership on architecture and delivery decisions 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 Required Qualifications: Skills: Python, ML/LLM Inference, AWS, Azure, Kubernetes, EKS/AKS, Docker, vLLM, REST APIs, CI/CD, Event-Driven Architecture, GPU workloads, and MLOps At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone.

We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.