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.
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
Qualification
Required
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
Preferred
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
Benefits
Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.
