MLOps Engineer ID72409
Tasks
- Build machine learning model deployment pipelines
- Design CI CD workflows for model deployments
- Implement concept drift detection
- Implement data drift detection
- Implement production monitoring systems
- Manage GPU compute resources for scalability and cost optimization
- Manage model lifecycle from experimentation to production
- Provision and manage cloud environments
- Set up experiment tracking and model versioning
Perks/Benefits
- Education budget
- Exciting projects
- Fitness budget
- Flexible schedule remote and office options
- Flextime
- Mentorship
- Personalized growth roadmaps
- Professional growth
- Team activity budget
- Techtalks
Skills/Tech-stack
CI/CD | Cloud Computing | Docker | Drift Detection | Experiment tracking | GPU Compute | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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