AI/ML Operations Engineer - TS/SCI + CI Polygraph Required
Tasks
- Automate retraining workflows
- Deploy models
- Design MLOps infrastructure
- Ensure scalability, reliability, performance
- Implement MLOps pipelines
- Implement drift detection
- Implement model versioning
- Integrate ML workflows with DevSecOps
- Maintain compliance DIA QAF requirements
- Manage GPU clusters
- Manage ML lifecycle
- Manage feature stores
- Manage model registries
- Monitor drift and retrain
- Monitor model performance
- Track ML experiments
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Azure Machine Learning | CI/CD | Data Engineering | Data Pipelines | Deployment | DevSecOps | Docker | Experiment tracking | Feature Engineering | Feature Stores | GPU clusters | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Machine Learning | Model Serving | Model registries | Model versioning | Monitoring | PyTorch | TensorFlow | “as-code”
Education
Regions
Countries
States
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