Al/ML Engineer (SME)

Peraton•,

62d•$104,000 - $166,000•Remote

About The Position

Peraton is seeking an AI/ML Engineer (SME) to support the MODES III program, focusing on Military Community and Family Policy (MC&FP). The selected candidate will provide program-level leadership for AI/ML strategy, defining the technical roadmap, data governance, and model lifecycle management across the program's data and analytics initiatives. This position is remote and requires an active Secret clearance.

Requirements

Active Secret clearance required.
12 years relevant experience with BS/BA degree or 10 with MS/MA or 8 years with PhD or 16 years w/o a degree or 14 years with AS/AA
Demonstration of capability within the Cyberspace IT workforce.
Successful applicants must satisfy Foundational Qualification standards via an approved industry certification (e.g., A+ or Network+) or documented equivalent military/educational training as defined in the DoD 8140 Qualification Matrix.

Nice To Haves

Eligible for Top Secret/SCI clearance.
Prior experience working in DoD or Federal government IT environments.
Experience with cloud-native data pipelines, analytics platforms, or data lake architectures.
Familiarity with NIST RMF, ATO processes, and DoD security compliance frameworks.
Experience with machine learning model deployment, MLOps pipelines, or AI/ML frameworks in production environments.
CompTIA Security+

Responsibilities

Provides program‑level leadership for AI/ML strategy, defining the technical roadmap, data governance, and model lifecycle management across MODES III data and analytics initiatives.
Directs architecture and integration of AI/ML capabilities into the MODES III data lake, API layers, dashboards, and operational tooling to enable predictive and automated troubleshooting and optimization.
Establishes enterprise model governance, ethical AI principles, and production standards (validation, explainability, drift detection) and approves high‑impact pilots for scale‑up.
Leads RMF/ATO strategy for ML infrastructure in authorized enclaves, coordinates eMASS artifact generation, and ensures ML deployments comply with DoD/MODES III security mandates.
Advises program leadership on resource allocation, tooling, and research priorities; engages stakeholders to align AI/ML outcomes with operational objectives and quality management plan requirements.
Familiar with: PyTorch/TensorFlow/Keras, Hugging Face transformers, LangChain, RAG toolkits, FAISS/Pinecone, SageMaker/Vertex AI, MLflow/Kubeflow, Terraform/CloudFormation, EKS/GPU EC2, Prometheus/Grafana, ELK/OpenSearch, AWS Lake Formation/Feature Store, QuickSight/Tableau, Secrets Manager/KMS, eMASS/RMF.