MLOps Engineer ID72409
Tasks
- Build infrastructure for model deployment
- Implement concept drift detection
- Implement production monitoring
- Maintain automation and CI CD workflows
- Manage GPU compute resources
- Manage cloud environments
- Manage experiment tracking
- Manage model versioning and registry
- Own model deployment lifecycle
- Set up data drift detection
- Translate research models to production solutions
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Professional growth
- Remote and office options
- Team activity budget
- Techtalks
Skills/Tech-stack
Automation | CI/CD | Cloud Computing | Data Engineering | DevOps | Docker | Drift Detection | Experiment tracking | GPU Compute | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
Regions
Countries
States
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