MLOps Engineer ID72409
Tasks
- Build maintain and scale infrastructure and automation for model deployment
- Collaborate with data scientists and AI researchers to deploy production ready models
- Design CI CD workflows for automated deployments
- Implement data and concept drift detection
- Implement production monitoring
- Manage GPU compute resources for deployments
- Manage model lifecycle from experimentation to production
- Manage model versioning and registry
- Provision cloud environments for scalable cost effective systems
- Set up experiment tracking
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Flextime
- Mentorship
- Personalized growth roadmaps
- Professional growth
- Remote and office options
- Team activity budget
- Techtalks
Skills/Tech-stack
Automation | CI/CD | Cloud Computing | Concept drift | Containerization | Data Drift | Docker | Drift Detection | Experiment tracking | GPU Computing | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring | “as-code”
Education
Regions
Countries
States
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