Machine Learning Engineer

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 77,600 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced AI/ML engineer to design, train, test, deploy, and maintain ML models for mission-critical defense applications. You will define the path of AI solutions and collaborate with data engineers, scientists, and product owners to deliver impactful outcomes.

You will guide clients on ML methods, tools, and frameworks, including deep learning, CV, and generative AI, while supporting DoD market initiatives and ensuring security clearances where required.

Qualifications

• 2+ years of experience in AI/ML engineering, data science, or ML engineering, including developing and deploying models.
• Experience with Python and libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with programming languages including Python, C++, Rust, or Java.
• Experience with deep learning, computer vision, or generative AI.
• Experience with data handling and model development.
• Experience with AI productivity tools for coding, such as Cursor.
• Ability to solve client issues and problems.
• Must hold or be eligible for Secret clearance.
• Bachelor’s degree.

Responsibilities

• Train, test, deploy, and maintain ML models that learn from data.
• Own the direction of mission‑critical AI solutions.
• Collaborate with cross‑functional teams to implement AI use cases.
• Guide clients on ML algorithms, tools, and frameworks.

Skills

AI/ML engineering

Generative AI

Deep learning

Data handling

Client issue solving

Security clearance knowledge

Education

Bachelor's degree

Tools

Python

C++

Rust

Java

TensorFlow

PyTorch

scikit-learn

Cursor

Job description

The Opportunity

As an experienced AI and ML engineer, you know that machine learning 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 a machine learning engineer on our defense technology team, you’ll train, test, deploy, and maintain models that learn from data. You’ll own and define the direction of mission‑critical solutions by implementing AI that enables faster mission success. You’ll collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world‑class solutions for a wide variety of AI use cases and guide clients as they navigate the ML landscape.

Responsibilities

• Train, test, deploy, and maintain ML models that learn from data.
• Own the direction of mission‑critical AI solutions.
• Collaborate with cross‑functional teams to implement AI use cases.
• Guide clients on ML algorithms, tools, and frameworks.

Qualifications

• 2+ years of experience with AI, data science, or ML engineering, including developing and deploying models.
• Experience with Python and libraries such as scikit‑learn, TensorFlow, or PyTorch.
• Experience with programming languages including Python, C++, Rust, or Java.
• Experience with deep learning, computer vision, or generative AI.
• Experience with data handling and model development.
• Experience with AI productivity tools for coding, such as Cursor.
• Ability to solve client issues and problems.
• Must hold or be eligible for Secret clearance.
• Bachelor’s degree.

Preferred Qualifications

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

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.

Compensation & Benefits

At Booz Allen, we celebrate your contributions and provide a comprehensive benefits package, including health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, and more. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The posting will close within 90 days from the posting date.

EEO Statement

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.