Key skills
PythonAIMachine LearningMLMLOpsDatabricksFastAPIAzureKubernetesDockerHelmCommunication
About this role
Optum is a global leader in health care innovation, developing cutting-edge solutions to improve health systems. The Lead AI/ML Software Engineer will own the delivery of machine learning insights, manage scalable systems, and partner with cross-functional teams to implement AI innovations in real-world products.
Responsibilities:
- Own the inference and delivery of machine learning insights to multiple customers
- Manage, monitor, and scale machine learning systems, delivering insights to multiple customers
- Partner with cross-functional engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products
- Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently
- Drive pipeline efficiency and reliability through profiling, refactoring and advanced engineering
- Develop new data pipelines to improve ML model usage
Requirements:
- Bachelor of Science in computer science or related quantitative field
- 7+ years of professional software engineering experience, with at least 5+ years building and operating production ML systems
- Expert-level Python experience, including writing production-grade, testable, and maintainable code
- Hands-on experience building and deploying APIs using FastAPI (or similar Python web frameworks) in a production environment
- Solid experience deploying, managing, and scaling services in Kubernetes, including: Containerization (Docker), Helm or equivalent deployment tooling, Resource tuning, autoscaling, and failure recovery
- Proven experience with MLOps practices, including: Model deployment and versioning, Monitoring model performance, drift, and system health
- Experience with AzureML, DataBricks, and Azure Kubernetes
- Experience with distributed computing approaches
- Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining
- Proven solid technical communication skills
- Proven ability and drive to learn independently
- Proven problem-solving and analytical thinking
- Proven ability to explain technical decisions to stakeholders
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy