Machine Learning Engineer

Booz Allen Hamilton is seeking a Machine Learning Engineer to support innovation across the DoD market. The role involves training, testing, deploying, and maintaining machine learning models, while collaborating with a team to deliver AI solutions for national security.

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

Requirements:

• 2+ years of experience with AI, data science, or ML engineering, including developing and deploying MLE models
• Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
• Experience developing code using a common programming language, including Python, C++, Rust, or Java
• Experience with data handling and model development
• Ability to solve client issues and problems
• Secret clearance
• Bachelor's degree
• Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph
• Experience with deep learning, computer vision, or generative AI
• Experience with supervised and unsupervised learning
• Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
• Ability to create software for retrieving, parsing, and processing structured and unstructured data
• Master's degree