AI / ML Engineer Manager
Core
Lead a specialized team to build and manage a centralized Model-as-a-Service (MaaS) platform for the US Department of Defense, enabling production deployment of AI/ML models.
Role type
Manager, AI/ML Models as a Service (MaaS)
Builds
Centralized MaaS platform providing pre-trained and custom-built AI/ML models to the DoD
Domain
Defense / National Security / Machine Learning
Deliverable
production ML models
Required skills
Technical leadership, ML model development/deployment, MLOps, cloud infrastructure (AWS/Azure/GCP), containerization (Docker/Kubernetes), Python, API architecture, governance/security
Preferred skills
Model-as-a-Service platform experience, Databricks/AWS SageMaker AI, Infrastructure-as-Code (Terraform), high-security DoD/IC environment experience
Technologies
TensorFlow, PyTorch, scikit-learn, MLflow, Kubeflow, AWS SageMaker, Azure ML, Docker, Kubernetes, Terraform
Responsibilities
Lead and mentor ML developers and MLOps engineers; define technical strategy for MaaS platform; oversee model design, development, and deployment; establish MLOps practices and CI/CD pipelines; architect service layer and secure APIs; collaborate on use cases and requirements; implement governance and ethical AI standards; manage project timelines and resources
Seniority
Manager, hands-on technical leadership