AI/ML Data Engineer - Clinical Data AI Systems

@ UnitedHealth Group

About UnitedHealth Group

Optum, part of UnitedHealth Group, is a global organization focused on improving health outcomes by connecting people with quality care and technology.

Role Overview

The AI/ML Data Engineer - Clinical Data AI Systems role is a part of the AI Data Engineering team. You will design, develop, and deploy AI-powered solutions that process millions of clinical data elements to enhance patient care.

Primary Responsibilities

• Design and implement systems for scalable clinical data integration.
• Analyze clinical data for optimal processing solutions.
• Deliver high-quality, maintainable, and efficient code.
• Advocate agile methodologies including SCRUM, unit tests and code reviews.
• Develop and deploy AI-powered solutions using various platforms.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 2+ years of experience in AI/ML engineering with Python proficiency.
• Experience in data modeling, performance tuning, and data lifecycle management.
• Experience with cloud platforms (AWS, GCP, or Azure) including CI/CD pipeline setup.

Preferred Qualifications

• Master's degree in a related field.
• Experience deploying generative AI systems.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools.
• Experience working with healthcare clinical data formats and data governance.

Additional Information

This is a remote role open to candidates residing anywhere within the U.S. You will work alongside a globally distributed team passionate about improving patient outcomes and streamlining healthcare operations. UnitedHealth Group is an Equal Opportunity Employer, and all employees must adhere to the Telecommuter Policy.

Key skills/competency

Python, AI/ML, Data Engineering, Cloud, Clinical Data, Generative AI, CI/CD, Agile, Data Modeling, Healthcare