Machine Learning Engineer

Booz Allen Hamilton; Alexandria (VA); On-site; USD 77,600 - 176,000; Full time

Benefits offered by this job

Health insurance

Tuition assistance

Retirement plans

Job summary

Booz Allen Hamilton is seeking an experienced AI and ML engineer in Alexandria, Virginia. You will help deliver customer-focused solutions and advance initiatives across the DoD market by training and maintaining models. This role requires deep understanding of AI, machine learning, and strong collaboration skills.

Proficiency in Python and related libraries is essential, along with a bachelor’s degree. The position offers a competitive salary range from $77,600 to $176,000, depending on experience, and a benefits package including health and retirement plans.

Qualifications

• 2+ years of experience with AI, data science, or ML engineering.
• Proficiency in Python and libraries such as TensorFlow or PyTorch.
• Hands-on experience with deep learning and computer vision.

Responsibilities

• Own direction of mission-critical solutions in AI.
• Collaborate with data teams to deliver AI use cases.
• Guide clients through ML algorithms and frameworks.

Skills

Artificial Intelligence

Machine Learning

Python

Statistical Analysis

Deep Learning

Problem-Solving

Education

Bachelor's degree in a related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Overview

As an experienced AI and ML engineer, you understand the importance of machine learning for interpreting and processing large datasets. Your expertise in statistical analysis of business processes will enable you to build customer‑focused solutions. You will help advance initiatives across the DoD market by training, testing, deploying, and maintaining models that learn from data.

Responsibilities

• Own and define the direction of mission‑critical solutions by implementing AI that accelerates mission success.
• Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world‑class AI use cases.
• Guide clients through ML algorithms, tools, and frameworks.

Qualifications

• 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
• Proficiency in Python and related libraries such as scikit‑learn, TensorFlow, or PyTorch
• Experience coding in a primary language such as Python, C++, Rust, or Java
• Hands‑on experience with deep learning, computer vision, or generative AI
• Experience with data handling and model development
• Knowledge of AI productivity tools for coding (e.g., Cursor)
• Strong problem‑solving skills and ability to address client issues
• Bachelor’s degree in a related field
• Secret clearance or ability to obtain one

Preferred Qualifications

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

Security Clearance

Applicants selected will undergo a security investigation and must meet eligibility requirements for access to classified information. A Secret clearance is required.

Compensation and Benefits

Salary range: $77,600 to $176,000 (annualized USD). Additional benefits include health, life, disability, financial, and retirement plans, paid leave, professional development, tuition assistance, work‑life programs, and dependent care options. Eligible full‑time and part‑time employees working at least 20 hours a week participate in the benefits program.

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.