MLOps Engineer ID72409
Tasks
- Build maintain and scale ML infrastructure
- Collaborate with data scientists to deploy production ready models
- Develop CI CD workflows for model deployment
- Implement production monitoring and drift detection
- Manage ML experimentation to production lifecycle
- Manage experiment tracking and model versioning
- Provision and manage cloud environments and GPU compute
- Set up visibility dashboards
Perks/Benefits
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Professional growth
- Remote and office options
- Techtalks
Skills/Tech-stack
Automation | CI/CD | Cloud Computing | Data Engineering | DevOps | Docker | Drift Detection | Experiment tracking | GPU Compute | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Monitoring Dashboards | Production Monitoring
Education
Roles
Regions
Countries
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