Al/ML Engineer (SME)
Tasks
- Advise resource allocation and research priorities
- Align AI ML outcomes with operational objectives
- Coordinate eMASS artifact generation
- Define AI ML technical roadmap
- Deploy predictive and automated troubleshooting
- Ensure DoD security compliance
- Ensure model validation explainability and drift detection
- Establish data governance
- Implement model governance and ethical AI
- Integrate AI ML into data lake and APIs
- Lead AI ML architecture and integration
- Lead ML RMF ATO strategy
- Manage model lifecycle
- Optimize ML deployments in authorized enclaves
Perks/Benefits
Skills/Tech-stack
API Development | ATO | AWS Lake Formation | AWS Secrets | AWS Secrets Manager | Amazon EC2 | Amazon EKS | Amazon SageMaker | CloudFormation | Data Governance | Data Lake | Drift Detection | ELK | EMASS | Faiss | Feature Store | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Hugging Face Transformers | KMS | Keras | Kubeflow | Lake Formation | Langchain | MLOps | MLflow | Machine Learning | Model Deployment | Model Explainability | Model Validation | NIST RMF | OpenSearch | Pinecone | Prometheus | PyTorch | QuickSight | RMF | Retrieval-Augmented Generation | Secrets Manager | Tableau | TensorFlow | Terraform | Validation | Vertex AI
Education
Associate Degree | Bachelor of Arts | Bachelor of Science | Master of Arts | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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