Booz Allen Hamilton is looking for a Machine Learning Engineer to train, test, deploy, and maintain machine learning models that learn from data to support innovation across the DoD market. You will own and define the direction of mission-critical solutions by implementing AI that enables faster mission success.
What You’ll Do
- Train, test, deploy, and maintain models that learn from data.
- Own and define the direction of mission-critical solutions by implementing AI.
- Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions.
- Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
- Solve real-world challenges and define AI strategy for national security.
What We’re Looking For
- 3+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models.
- Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch.
- Experience with developing code using a common programming language, including Python, C++, Rust, or Java.
- Experience with deep learning, NLP, computer vision, or generative AI.
- Experience with supervised or unsupervised learning.
- Experience with data handling and model development.
- Ability to solve client issues and problems.
- Secret clearance.
- Bachelor's degree.
Nice to Have
- Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph.
- 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.
Technical Stack
- Python
- scikit-learn
- TensorFlow
- PyTorch
- C++
- Rust
- Java
Team & Environment
You will be part of a large community of machine learning engineers across the company, collaborating with data engineers, data scientists, solutions architects, and product owners.
Benefits & Compensation
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
- Compensation range: $77,600.00 to $176,000.00 (annualized USD)
Work Mode
This role follows a hybrid work model.
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
