Senior AI/ML Engineer — NLP/LLMs, Security-Cleared

Aimlroles

South Dakota

Teletrabalho

USD 99 000 - 225 000

Tempo integral

Há 13 dias
Gerador de candidaturas

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Resumo da oferta

Booz Allen Hamilton seeks a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for national security missions. You will work across data processing, model development, MLOps, and integration of scalable AI into operational environments.

The role emphasizes NLP, LLMs, CV, and hybrid systems with explainable models, collaborating with cross-functional teams to deliver production-grade systems while meeting security and accreditation needs.

Qualificações

  • 5+ years developing ML models (NLP/LLM/CV/ RL).
  • 5+ years building AI/ML capabilities in a microservice stack.
  • Production-grade APIs, microservices, or distributed systems experience.
  • Experience with NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn.
  • Experience deploying software in operational environments.
  • CI/CD tooling and GitLab; containerization with Docker/Kubernetes.

Responsabilidades

  • Design, develop, and implement AI/ML models (NLP/LLM, vision).
  • Build scalable data pipelines for training and evaluation.
  • Develop end-to-end production systems (microservices, APIs, automation).
  • Integrate AI/ML into operational environments with security and reliability.
  • Model optimization, versioning, and A/B testing for mission impact.
  • Collaborate with cross-functional teams and support accreditation processes.

Conhecimentos

ML model development
Microservices
APIs
Data pipelines
CI/CD (GitLab)
Docker/Kubernetes
AWS / cloud
PyTorch / TensorFlow
Security clearance TS/SCI

Formação académica

Bachelor's degree in STEM
Master’s degree in CS/AI/DS
AI/ML cloud certifications

Ferramentas

Docker
Kubernetes
GitLab
AWS
Podman

Descrição da oferta de emprego

Booz Allen Hamilton seeks a Senior AI/ML Engineer to design, build, and deploy advanced AI/ML solutions for national security missions. You will work across data processing, model development, MLOps, and integration of scalable AI into operational environments.

The role emphasizes NLP, LLMs, CV, and hybrid systems with explainable models, collaborating with cross-functional teams to deliver production-grade systems while meeting security and accreditation needs.

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