Unstructured is seeking an AI/Machine Learning Engineer to join their Public Sector team to support US government clients, primarily across the Department of Defense and national security community, by delivering complex software implementations on government networks that meet high technical and security standards.
Requirements
- Familiar with AWS, Azure, and/or GCP services for ML workloads
- Experience with government cloud offerings (AWS GovCloud, Azure Government, etc.)
- Multi-cloud ML architecture design and implementation
- Cloud cost optimization and resource governance for AI/ML
- Knowledge of Kubernetes administration (EKS, AKS, GKE)
- Container security and compliance for ML containers
- Experience with IaaC, such as Terraform, Ansible, Pulumi, etc., for provisioning complex ML environments
Responsibilities
- Develop evaluation and assessment tools and frameworks to measure newly developed models for performance against key metrics across a wide domain of tasks and knowledge sets
- Identify, propose, and implement modifications of existing models and model implementation frameworks to optimize for new tasks
- Lead conceptualization of both traditional and agentic implementation strategies for cloud and on-premises model deployments within broader system architectures
- Lead and optimize distributed ML workloads on multiple government cloud and non-cloud infrastructures.
- Align AI/ML deployments with FedRAMP, NIST 800-53, FISMA, and DISA SRG, maintaining strict security standards.
- Create reference architectures and deployment patterns to streamline ML adoption across government agencies.
- Apply advanced security controls and zero-trust architectures to protect ML pipelines and data.
Other
- TS Active Clearance required for the role
- Ability to travel
- Fully Remote with occasional travel to North Carolina, Florida, and other CONUS locations
- 4+ years of experience in AI/ML engineering, MLOPS, systems architecture, or similar technical roles
- 2+ years of experience working with government networks and security requirements
