MLOps Engineer ID72409
Tasks
- Build maintain and scale infrastructure and automation
- Collaborate with Data Scientists to productionize models
- Implement CI/CD pipelines for model deployment
- Implement data and concept drift detection
- Manage cloud environments and GPU compute resources
- Manage experiment tracking and model versioning
- Own ML lifecycle transition to production
- Set up production monitoring and visibility dashboards
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Office options
- Professional growth
- Remote options
- Team activity budget
- Techtalks
Skills/Tech-stack
CI/CD | Data Engineering | DevOps | Docker | Drift Detection | Experiment tracking | Kubernetes | MLOps | Machine Learning | Model Registry | Model versioning | Production Monitoring
Education
N/A
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