MLOps Engineer (Machine Learning, MLFlow, Kubernetes, DVC)
Tasks
- Automate model deployment and updates
- Deploy machine learning models
- Implement CI/CD pipelines for ML workflows
- Maintain machine learning models
- Optimize machine learning models
- Set up monitoring and logging for ML models
Perks/Benefits
- Home-office package
- Hybrid work
- Insurance and wellness benefits
- Life insurance
- Private medical care
- Training access
Skills/Tech-stack
CI/CD | DVC | Docker | Git | Infrastructure as Code | Kubernetes | Logging | MLflow | Machine Learning | Monitoring | TensorFlow | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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