MLOps Engineer ID72409
Tasks
- Build maintain and scale model deployment infrastructure
- Configure drift detection
- Deploy models using cloud and GPU compute
- Implement automation and CI/CD workflows
- Implement experiment tracking
- Manage model versioning and model registry
- Provision and manage GPU compute resources
- Set up production monitoring systems
- Transition AI ML experiments to production deployment
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Remote and office options
- Team activity budget
- Techtalks
Skills/Tech-stack
CI/CD | Cloud Computing | Concept drift | Concept drift detection | Data Drift | Data Drift Detection | Docker | Drift Detection | Experiment tracking | GPU Computing | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
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