Booz Allen Hamilton · 20 hours ago
Machine Learning Engineer
Booz Allen Hamilton is a leader in delivering innovative solutions for national security challenges. They are seeking a Machine Learning Engineer to conduct statistical analyses and implement AI solutions that enhance mission success in the defense technology sector.
ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity
Responsibilities
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
5+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models
3+ years of 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, computer vision, or generative AI
Experience with supervised and unsupervised learning
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
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
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Company
Booz Allen Hamilton
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.
Funding
Current Stage
Public CompanyTotal Funding
$3.03B2025-03-11Post Ipo Debt· $650M
2023-08-01Post Ipo Debt· $650M
2020-08-13Post Ipo Debt· $700M
Leadership Team
Recent News
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2026-01-24
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