ML Platform / MLOps Engineer

Emeryville, California, United States; Hybrid (2-3 days on-site) R

USD 180K-250K Mid-level Full Time

@ P...

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Found 28d ago

Tasks

Build and operate ML infrastructure
Develop ML pipelines for training and inference
Develop scalable ML platforms
Ensure security and access controls in ML infrastructure
Implement CI/CD pipelines for ML models
Maintain model serving infrastructure
Monitor and optimize system performance
Support rapid experimentation for ML research

Perks/Benefits

Skills/Tech-stack

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ML Platform / MLOps Engineer

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