Overview: The OHIA ML Engineering team is directly involved in all aspects of the AI/ML lifecycle, from interfacing with data scientists, writing code for production, and monitoring, maintaining, and retraining existing production models. The team uses a combination of SQL, Python, and Java for their software development and ML projects. The OHIA ML Engineering team also is responsible for developing and socializing OHIA’s MLOps practices across the UCLA Health IT (UHIT) organization.

Potential Projects: Summer interns are encouraged to participate in projects of their interest on OHIA’s Project roadmap. Projects available can be in areas of analytics delivery, data governance, AI usage, cloud strategy, and more.

Interns will gain hands‑on experience across the end‑to‑end data and AI lifecycle, including data engineering pipelines, feature platforms, MLOps practices, and high‑performance computing (HPC) environments using cloud‑based technologies such as Azure, AWS and Databricks.

By the end of the program, interns will:

Contribute production‑ready code to data, ML, or infrastructure platforms

Understand how enterprise AI/ML systems are designed, deployed, and governed in healthcare

Collaborate with data engineers, ML engineers, architects, and researchers

Deliver tangible artifacts aligned with UCLA Health analytics initiatives