MLOps Engineer ID72409
Tasks
- Build infrastructure for model deployment
- Build monitoring dashboards
- Collaborate with data scientists and AI researchers
- Implement CI/CD workflows
- Implement concept drift detection
- Implement data drift detection
- Maintain model deployment automation
- Manage cloud environments
- Manage experiment tracking
- Manage model versioning
- Provision GPU compute resources
- Set up production monitoring
- Support reproducibility and traceability
- Transition models to production
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal TechTalks
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
Automation | CI/CD | Cloud Computing | Concept drift | Concept drift detection | Data Drift | Data Drift Detection | Docker | Drift Detection | Experiment tracking | GPU Compute | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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