Peraton
Al/ML Engineer (SME)
Vaga remota de AI ML Engineering com fit claro de localização do candidato.
Publicada13 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Al/ML Engineer (SME)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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