Applied AI Engineer II
Tasks
- Build data pipelines
- Build deployment monitoring operations tools
- Deploy machine learning models
- Design on premises MLOps solutions
- Implement integration testing
- Implement unit testing
- Maintain CI/CD workflows
- Monitor ML systems in production
- Optimize model performance
- Train validate evaluate machine learning models
- Troubleshoot machine learning infrastructure
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Docker | GCP | Integration Testing | Kubernetes | Linux | MLOps | Machine Learning | Python | Unit Testing
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | MLOps Engineer
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