AI/ML Operations Engineer - TS/SCI + CI Polygraph Required
Tasks
- Build automated ML pipelines
- Design MLOps infrastructure
- Detect model drift
- Ensure scalable reliable performant production systems
- Implement MLOps pipelines
- Implement automated retraining
- Implement model versioning
- Integrate ML workflows with DevSecOps
- Maintain ML lifecycle
- Maintain compliance
- Manage GPU clusters
- Manage feature stores
- Manage model deployment
- Manage model registries
- Monitor model performance
- Track experiments
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Azure Machine Learning | CI/CD | Cloud ML | Cloud ML platforms | Data Engineering | Data Pipelines | DevSecOps | Docker | Drift Detection | Experiment tracking | Feature Engineering | Feature Stores | GPU clusters | Infrastructure as Code | Kubeflow | Kubernetes | ML Platforms | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Serving | Model registries | Model versioning | PyTorch | TensorFlow | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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