Optum AI is looking to solve real-world healthcare challenges by designing and implementing cutting-edge AI/ML systems. This includes improving patient engagement, predicting disease onset and progression, summarizing patient information using LLMs, and optimizing clinical trials. The goal is to advance health optimization on a global scale and make the healthcare system work better for everyone.
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 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
- Apply state-of-the-art approaches for MLOps to ensure the performance, scalability and reliability of machine learning models serving our customers and build data pipelines that deliver real-time insights.
Other
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
- Proven solid technical communication skills
- Provenability and drive to learn independently
- Provenproblem-solving and analytical thinking
- Provenability to explain technical decisions to stakeholders
