MLOps Engineer ID72409
Tasks
- Build and scale MLOps infrastructure and pipelines
- Design and run CI CD workflows
- Implement production monitoring and alerting
- Maintain model registry for reproducibility
- Manage GPU compute resources cost effectively
- Manage experiment tracking and model versioning
- Provision and manage cloud environments
- Set up data and concept drift detection
- Transition models from experimentation to production
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Professional growth
- Remote and office options
- Team activity budget
- Techtalks
Skills/Tech-stack
CI/CD | Cloud Computing | Data Engineering | DevOps | Docker | Drift Detection | Experiment tracking | GPU Computing | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
Regions
Countries
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