Healthcare MLOps Engineer; Austin Onsite
Listed on 2026-10-18
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IT/Tech
Machine Learning/ ML Engineer
The University of Texas at Austin is seeking an AI/Machine Engineer II to support development, deployment, and monitoring of machine learning models in production within a healthcare context. You will work under the Director of Data Intelligence and Decision Science to scale secure ML infrastructure, applying MLOps best practices and collaborating across teams.
Responsibilities include building deployment pipelines, enforcing governance, monitoring model performance, and coordinating with data
Join us at University of Texas at Austin as our next Healthcare MLOps Engineer (Austin Onsite) in Austin, TX, United States.
The position is based in Austin, TX, United States.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 81.000 - 99.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
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