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Job Details
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities:
- Deploy machine learning models and establish automated data pipelines between cloud and on-premise environments
- Design and implement integration and unit tests to ensure system reliability and performance
- Continuous integration and continuous delivery of production code
- Develop code and system-level documentation
- Work with the broader technical team to scope engineering milestones, provide updates, and communicate challenges
- Manage and monitor machine learning systems deployed to multiple customers
- Develop new data pipelines with automated refresh schedules
- Bachelor of Science in computer science or related quantitative field
- 5+ years of software engineering experience, including 2+ years of experience as a lead software engineer on production-grade systems
- 3+ years of experience working on collaborative software project using GitHub and CI/CD tools to ship production code
- 2+ years of demonstrated technical leadership
- 2+ years of experience with cloud environments and cloud-based batch model deployments using Python in at least one of Azure, AWS, Google Cloud
- MS or PhD in computer science or related quantitative field
- 2+ years of experience doing ML Ops, doing model monitoring, dirft detection, and event-based model retraining
- Solid technical communication skills
- Extensive experience with Databricks, AzureML, and Snowflake
About the Company
UnitedHealth Group
Minnetonka, MN, United States
UnitedHealth Group is a health care and well-being company that’s dedicated to improving the health outcomes of millions worldwide. We are... Read more