AI/ML Engineer: Production-Ready ML in Defense

NLP PEOPLE; Arlington (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced AI/ML Engineer for roles focused on building and operationalizing AI/ML systems. You will own end‑to‑end AI/ML pipelines, from experimentation to deployment, collaborating with cross‑functional teams to deliver mission‑critical solutions in the defense sector.

Applicants should have 4+ years of AI/ML experience, production‑grade model deployment skills with Docker/Kubernetes, and familiarity with LLMs, DL, or RL frameworks.

Qualifications

• 4+ years of experience as an AI/ML engineer or data scientist.
• Experience deploying production‑grade AI/ML models with Docker or Kubernetes.
• Hands‑on with LLMs, DL, or RL using TF/PyTorch and related tools.
• Knowledge of MLOps and deploying ML in production environments.
• Ability to train and integrate AI/ML algorithms on high‑throughput data.
• Secret clearance required; Bachelor’s degree.

Responsibilities

• Design, train, test, deploy, and maintain end‑to‑end AI/ML systems.
• Own the direction of mission‑critical AI/ML solutions for defense and beyond.
• Collaborate with data engineers, scientists, software engineers, and product owners.
• Apply modern MLOps practices to production pipelines and systems.

Skills

AI/ML experience

Docker or Kubernetes

LLMs/DL/RL frameworks

MLOps

Production AI/ML integration

Security clearance

Bachelor's degree

Education

Bachelor’s degree

Master’s degree

Tools

Docker

Kubernetes

TensorFlow

PyTorch

vLLM

Ollama

Job description

Booz Allen Hamilton is seeking an experienced AI/ML Engineer for roles focused on building and operationalizing AI/ML systems. You will own end‑to‑end AI/ML pipelines, from experimentation to deployment, collaborating with cross‑functional teams to deliver mission‑critical solutions in the defense sector.

Applicants should have 4+ years of AI/ML experience, production‑grade model deployment skills with Docker/Kubernetes, and familiarity with LLMs, DL, or RL frameworks.