MLOps Engineer ID72409
Tasks
- Build maintain and scale model deployment infrastructure
- Create visibility dashboards for model performance
- Design CI CD workflows for automated deployments
- Implement production monitoring and drift detection
- Manage cloud environments and GPU compute resources
- Set up experiment tracking and model versioning
- Transition AI ML experiments to production deployment
Perks/Benefits
- Flexible schedule
- Mentorship
- Office option
- Personalized growth roadmaps
- Professional growth
- Remote option
- Techtalks
Skills/Tech-stack
CI/CD | Cloud Computing | Concept drift | Concept drift detection | Containerization | Data Drift | Data Drift Detection | Docker | Drift Detection | Experiment tracking | GPU Compute | Infrastructure automation | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
Roles
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