Senior ML Ops Engineer
Tasks
- Advocate for engineering best practices including CI/CD and version control
- Collaborate with data scientists and developers
- Design and maintain scalable ML platform
- Implement monitoring for model drift and latency
- Manage distributed clusters and auto-scaling endpoints
- Support real-time and batch data processing
Perks/Benefits
- Company events
- Free lunch
- Hybrid work
- Language classes
- Multisport card
- Paid Holidays
- Private medical
- Professional development
- Remote work
- Support programs
Skills/Tech-stack
AI tools | Batch Prediction | CI/CD | Data Processing | Generative AI | Generative AI tools | Kubeflow | Low Latency | Low-latency serving | MLOps | MLflow | Machine Learning | Model Optimization | Observability | SageMaker | Vertex Pipelines
Education
Roles
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