MLOps Engineer ID72409
Tasks
- Build maintain and scale MLOps infrastructure pipelines and automation
- Build visibility dashboards
- Design CI CD workflows for automated model deployment
- Implement concept drift detection
- Implement data drift detection
- Implement production monitoring systems
- Manage cloud environments
- Manage experiment tracking
- Manage model versioning and model registry
- Provision and manage GPU compute resources
- Transition AI ML experimentation to production deployment
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Office options
- Personalized growth roadmaps
- Professional growth
- Remote work 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
N/A
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