Machine Learning Engineer

Booz Allen Hamilton•McLean, VA

About The Position

As a Machine Learning Engineer, you will leverage your programming skills and knowledge of machine learning (ML) to understand and process massive datasets, conducting statistical analyses on business processes using ML techniques. This role is integral to delivering customer-focused solutions within the DoD market, supporting innovation across the defense technology sector. You will be responsible for training, testing, deploying, and maintaining ML models that learn from data, and will own and define the direction of mission-critical solutions by implementing AI to enable faster mission success. You will collaborate with a large community of machine learning engineers, data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions for a wide variety of AI use cases. Your expertise will guide clients through the landscape of ML algorithms, tools, and frameworks, helping to solve real-world challenges and define AI strategy for national security.

Requirements

3+ years of experience with AI, data science, data engineering, 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 deep learning, computer vision, or generative AI
Experience with data handling and model development
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
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

Responsibilities

Conduct statistical analyses on business processes using ML techniques
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
Solve real-world challenges and define AI strategy for national security