ML Platform / MLOps Engineer
Emeryville, California, United States; Hybrid (2-3 days on-site)
R
USD 180K-250K Mid-level Full Time
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
CI/CD | Cloud Computing | Data Pipelines | Docker | GCP | Infrastructure as Code | Kubernetes | MLflow | Machine Learning | Machine Learning Infrastructure | PyTorch | “as-code”
Education
Regions
Countries
States
Cities
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