About The Role
You will join a team responsible for
building and scaling the ML platform used by
300+ data scientists and ML engineers across 60+ teams. Your work will directly impact how machine learning models are deployed to production — reliably, securely, and at scale.
You’ll spend most of your time implementing and standardising
Databricks MLOps (environments, CI/CD pipelines, model monitoring) while also contributing to the evolution of a
battle‑tested AWS SageMaker platform.
You Day-to-day
Design, build, and scale a production-grade ML / MLOps platformImplement Databricks MLOps (environments, CI/CD pipelines, monitoring) <
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