Optum is looking to solve real-world healthcare challenges through the design and implementation of cutting-edge AI/ML systems, including problems around improving patient engagement, predicting onset and progression of disease, and optimizing clinical trials.
Requirements
- 3+ years of experience with PySpark or SQL
- 3+ years of experience with software engineering and software development life cycle (SDLC)
- 2+ years of experience with CI/CD tools to ship production quality code
- 2+ years of experience with cloud environments and cloud-based batch model deployments using Python in at least one of Azure, AWS, Google Cloud
- Experience with Databricks, AzureML, and Snowflake or related technologies
- Experience with distributed computing approaches such as Spark
- Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining
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
Other
- Bachelor of Science in computer science or related quantitative field
- MS in computer science or related quantitative field (preferred)
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
- Pass a drug test before beginning employment
- Comply with all minimum wage laws as applicable
