Machine Learning Engineer

Booz Allen Hamilton

$77K — $176K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in AI, machine learning engineering, or data science with model development and deployment.
  • Proficiency in Python and libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience in programming with languages like C++, Rust, or Java.
  • Familiarity with deep learning, computer vision, or generative AI.
  • Knowledge in data handling and model development practices.
  • Strong problem-solving capabilities for client issues.
  • Must possess a Secret clearance and a Bachelor's degree.

Responsibilities

  • Train, test, deploy, and maintain machine learning models from massive datasets.
  • Define and drive the direction of mission-critical solutions using AI technologies.
  • Collaborate with data engineers, scientists, and solutions architects to deliver AI implementations.
  • Develop strategies to apply machine learning algorithms and analytics to improve business processes.
  • Guide clients through the complexities of ML tools and frameworks.
  • Innovate and solve real-world challenges in the defense technology sector.
  • Contribute to the advancement of national security through AI initiatives.

Benefits

  • Opportunity to work on innovative defense technology projects.
  • Access to a collaborative community of machine learning engineers.
  • Potential to influence national security strategies with AI solutions.
  • Involvement in a dynamic and mission-driven work environment.
Full Job Description
Machine Learning Engineer

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. 

In this role, you’ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You’ll be part of a large community of machine learning engineers across the company and 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. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for national security.

Join us. The world can’t wait.

You Have: 

  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying 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, 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 If You Have: 

  • 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

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.

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