ML Ops Engineer: Production-Grade AI Pipelines
Listed on 2026-10-17
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
The University of Texas at Austin's Dell Medical School seeks an AI Engineer II to deploy and monitor ML models in healthcare environments. You will drive MLOps, build scalable pipelines, and collaborate with data scientists and Dev Ops to ensure secure production systems.
Responsibilities include model governance, monitoring, automated retraining, cloud optimization, and thorough documentation. Requires a CS/engineering degree and 2+ years in ML engineering or MLOps; healthcare experience is a
We are currently recruiting a ML Ops Engineer:
Production-Grade AI Pipelines for our team in Austin, TX, United States.
All applications are reviewed carefully by our team.
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.
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