MLOps Engineer ID72409
Tasks
- Build maintain and scale model deployment infrastructure
- Collaborate with data scientists and AI researchers
- Design CI CD workflows for automated deployments
- Implement production monitoring systems
- Manage experiment tracking and model versioning
- Provision and manage GPU compute resources
- Provision and manage cloud environments
- Set up concept drift detection
- Set up data drift detection
- Transition AI ML experiments to production deployment
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Office work options
- Personalized growth roadmaps
- Remote work 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
N/A
Regions
Countries
States
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