MLOps Engineer ID72409
Tasks
- Build and maintain infrastructure for model deployment
- Build visibility dashboards
- Collaborate with data scientists and AI researchers to productionize models
- Design and maintain CI CD pipelines for automated deployments
- Develop and scale automation workflows
- Implement production monitoring and alerting
- Manage GPU compute resources for cost effective scalability
- Manage experiment tracking and model versioning
- Own model lifecycle transition from experimentation to production
- Provision and manage cloud environments
- Set up concept drift detection
- Set up data drift detection
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Remote and office 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
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