AI/ML Engineer - Mission-Driven Defense Tech

Booz Allen Hamilton; Arlington (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an ML Engineer to design and implement AI/ML solutions for Defense and Intelligence missions. You will work on production-grade ML systems that scale with data and infrastructure, aligning with mission requirements.

You will deepen expertise in MLOps, software deployment, and integration across diverse mission environments while collaborating with cross-functional teams.

Qualifications

• 2+ years of experience as ML engineer, data scientist, analyst or researcher.
• 2+ years of experience 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 that will transform client operations, increase data accessibility, and optimize AI and ML systems.
• Ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements.
• Deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.

Skills

ML engineering

Data science

Production ML

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

llama.cpp

vLLM

Job description

Booz Allen Hamilton is seeking an ML Engineer to design and implement AI/ML solutions for Defense and Intelligence missions. You will work on production-grade ML systems that scale with data and infrastructure, aligning with mission requirements.

You will deepen expertise in MLOps, software deployment, and integration across diverse mission environments while collaborating with cross-functional teams.