Mission‑Driven ML Engineer for Defense & Intelligence

Booz Allen Hamilton; San Diego (CA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an AI/ML Engineer to design, implement, and scale AI systems for defense and intelligence missions. You will craft production-grade ML solutions, deploy across modalities, and integrate with existing systems to enhance data accessibility and operational efficiency.

Candidates should have 2+ years in ML/data science, be proficient with TensorFlow/PyTorch, and pursue a Secret clearance. Remote, hybrid, and onsite work models may apply.

Qualifications

• 2+ years of experience as an ML engineer, data scientist, analyst, or researcher.
• 2+ years of experience working in data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
• Experience building production-grade ML solutions
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM
• Experience with project work in deep learning, computer vision, neural networks, NLP, or signal processing
• Ability to obtain a Secret clearance
• Bachelor’s degree

Responsibilities

• Design, create, and implement complete AI systems for defense and intelligence clients.
• Build AI/ML-enabled solutions to transform client operations and data accessibility.
• Ensure solutions consider the broader ecosystem, operating environment, and future enhancements.

Skills

Python

TensorFlow/PyTorch

MLOps

NLP/Computer Vision

Docker

Kubernetes

AWS/Azure

Education

Bachelor’s degree

Tools

Docker

Kubernetes

AWS

Azure

Job description

Booz Allen Hamilton is seeking an AI/ML Engineer to design, implement, and scale AI systems for defense and intelligence missions. You will craft production-grade ML solutions, deploy across modalities, and integrate with existing systems to enhance data accessibility and operational efficiency.

Candidates should have 2+ years in ML/data science, be proficient with TensorFlow/PyTorch, and pursue a Secret clearance. Remote, hybrid, and onsite work models may apply.