MLOps Engineer ID72409
Tasks
- Build and scale model deployment infrastructure
- Collaborate with data scientists and AI researchers
- Design CI CD workflows for automated deployments
- Implement production monitoring and drift detection
- Manage cloud environments and GPU compute resources
- Manage experiment tracking and model versioning
- Own model lifecycle 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 | Concept drift | Concept drift detection | Data Drift | Data Drift Detection | Data Engineering | DevOps | Docker | Drift Detection | Experiment tracking | GPU Computing | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
Roles
Regions
Countries
States
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