Key skills
AIMachine learningNatural language processingPyTorchTensorFlowKerasHugging Face transformersLangChainRAG toolkitsFAISSPineconeSageMakerVertex AIMLflowKubeflowTerraformCloudFormationEKSGPU EC2PrometheusGrafanaELKOpenSearchAWS Lake FormationAWS Feature StoreQuickSightTableauAWS Secrets ManagerAWS KMSeMASSRisk Management Framework (RMF)CompTIA A+CompTIA Network+CompTIA Security+Agile methodologiesScrumMLOpsMachine LearningMLNatural Language ProcessingAgileLeadership
About this role
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking an AI/ML Engineer (SME) to architect, develop, and integrate AI and machine learning capabilities into application development efforts for the MODES III program, enhancing functionality and mission outcomes.
Responsibilities:
- Responsible for architecting, developing, and integrating AI and machine learning capabilities into MODES III application development efforts to enhance functionality, automation, and mission outcomes
- Leads design and development of AI/ML-enabled application features supporting MODES III application development activities
- Applies machine learning, natural language processing, or automation techniques to enhance application functionality, decision support, and user interaction
- Oversees integration of AI/ML components into application architectures, ensuring performance, scalability, and maintainability
- Establishes model development, training, validation, and deployment approaches aligned with Agile application development practices
- Collaborates with application developers, product owners, and DevSecOps teams to ensure AI/ML solutions align with functional requirements and release cycles
- Ensures AI/ML implementations adhere to Government security, data handling, and ethical use guidelines
- Provides technical leadership and subject matter expertise for AI/ML approaches used within application development efforts
Requirements:
- Active Secret clearance required
- Experience / Education: 12 years of relevant experience with BS/BA degree or 10 years with a MS/MA or 8 years with PhD or 16 years w/o a degree or 14 years with AS/AA
- Certifications: This role requires a 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
- Eligible for Top Secret/SCI clearance
- Experience with Agile/Scrum methodologies and iterative development practices
- Experience with machine learning model deployment, MLOps pipelines, or AI/ML frameworks in production environments
- CompTIA Security+