Machine Learning Engineer

Booz Allen Hamilton•Arlington, VA

1d•Remote

About The Position

As an experienced AI and machine learning (ML) engineer, you know that ML is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As an ML engineer on our defense technology team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You’ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI strategy for national security. Join us. The world can’t wait.

Requirements

Experience with AI, data science, or ML engineering, including developing and deploying models
Experience developing code using a common programming language, including Python, C++, Rust, or Java
Experience with data handling and model development
Knowledge of Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
Knowledge of deep learning, computer vision, or generative AI
Ability to leverage AI productivity tools for coding such as Cursor
Ability to solve client issues and problems
Secret clearance
Bachelor's degree

Nice To Haves

Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph
Experience with supervised and unsupervised learning

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Own and define the direction of mission-critical solutions by implementing AI that enables faster mission success.
Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases.
Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.