Senior Software Engineer (MLOps) – Training & Registry
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The role
Design and implement scalable, reliable systems for training orchestration, artifact tracking, and model registration across data centers and cloud regions.
Improve ML experimentation workflows by integrating Ray, Airflow, and interactive notebooks.
Develop APIs and services enabling researchers and engineers to launch, debug, and track training jobs.
Ensure reproducibility and traceability through robust version control and metadata systems for model artifacts.
Collaborate with AI infrastructure teams to deliver consistent experiences and integrated telemetry.
Mentor engineers and help drive architectural decisions and technical standards.
Improve ML experimentation workflows by integrating Ray, Airflow, and interactive notebooks.
Develop APIs and services enabling researchers and engineers to launch, debug, and track training jobs.
Ensure reproducibility and traceability through robust version control and metadata systems for model artifacts.
Collaborate with AI infrastructure teams to deliver consistent experiences and integrated telemetry.
Mentor engineers and help drive architectural decisions and technical standards.
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