Own the systems that support model experimentation, training, deployment, and monitoring at scale
Job Summary
Own the systems that support model experimentation, training, deployment, and monitoring at scale.
Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
Matching Summary
Own the systems that support model experimentation, training, deployment, and monitoring at scale.