Senior AI/ML Engineer for Production-Grade Mission Systems

CFD Research Corporation

Dayton (OH)

On-site

USD 140,000 - 210,000

Full time

42 hours ago
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Benefits offered by this job

401(k) matching
ESOP
Medical insurance
Vision insurance
Dental insurance
Paid leave

Job summary

CFD Research Corporation seeks a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for national security mission systems. You will cover data processing, model development, MLOps, and integration of scalable AI capabilities into production environments.

The role emphasizes NLP/LLM, computer vision, and hybrid systems with interpretable models, collaborating with cross‑functional teams to deliver production‑grade services while upholding security requirements.

Qualifications

  • Experience in GPU programming, including CUDA or RAPIDs.
  • Experience with AWS and containerization of models in a classified environment.
  • Experience with LLM orchestration, RAG pipelines, grounding, or hallucination‑mitigation workflows.
  • Experience with MLOps platforms, distributed training, or hybrid cloud environments (AWS, Azure, GCP).
  • Familiarity with automated testing tools and model evaluation frameworks.
  • Master’s degree in Computer Science, AI/ML Engineering, Data Science, or related STEM field.
  • Industry certifications in AI/ML, cloud, or solution architecture.
  • 5+ years of experience developing machine learning models (such as: NLP/LLM, CV, deep learning, generative AI, reinforcement learning, or other related).
  • 5+ years experience developing AI/ML capabilities to operate in a microservice stack.
  • Experience developing or maintaining production‑grade APIs, microservices, or distributed systems.
  • Experience with data processing frameworks and scientific computing libraries (such as: NumPy, Pandas, PyTorch, TensorFlow, or scikit‑learn).
  • Experience designing, configuring, or deploying software systems in operational environments.
  • Experience with CI/CD tooling, source control (such as GitLab) and containerization technologies (such as: Docker, Podman, or Kubernetes).
  • U.S. Citizenship is REQUIRED.
  • ACTIVE TS/SCI clearance IS REQUIRED, and willingness to take a polygraph
  • Bachelor's degree in a related STEM field

Responsibilities

  • Design, develop, and implement AI/ML models—including NLP, LLM‑based pipelines, deep learning architectures, and computer vision models—aligned to mission requirements
  • Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models
  • Develop end‑to‑end production systems including microservices, APIs, automation frameworks, and cloud‑native or edge‑deployed AI services
  • Integrate AI/ML capabilities into operational environments with attention to security, reliability, observability, and performance
  • Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact
  • Apply modern software engineering patterns (Python, Java, Scala, Rust; microservices; distributed systems) as consistent with Booz Allen’s AI/ML engineering frameworks
  • Collaborate with multi‑disciplinary teams to identify mission needs, gather requirements, and define technical approaches
  • Prepare technical documentation, contribute to design reviews, and support accreditation/security processes as required in classified environments

Skills

GPU programming
LLM orchestration
MLOps platforms
CI/CD tooling
Python/Java/Scala/Rust
Security/compliance

Education

Master’s degree in Computer Science/AI/ML/Data Science
Bachelor's degree in related STEM field

Tools

AWS
Docker
Kubernetes
TensorFlow
PyTorch
GitLab

Job description

CFD Research Corporation seeks a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for national security mission systems. You will cover data processing, model development, MLOps, and integration of scalable AI capabilities into production environments.

The role emphasizes NLP/LLM, computer vision, and hybrid systems with interpretable models, collaborating with cross‑functional teams to deliver production‑grade services while upholding security requirements.

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