Peraton
Al/ML Engineer (SME)
Remote AI ML Engineering role with clear candidate location fit.
PostedJul 13, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Al/ML Engineer (SME)
Requirements and responsibilities
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JOB DESCRIPTION
- AI/ML Engineer. 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.
- 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.
REQUIRED QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- 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+
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