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# AI/ML Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** McLean, VA, United States (Remote available)
- **Salary:** $55,200 - $126,000
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Computer Engineering, Information Engineering, Cursor, Machine Learning, Tensorflow, Software Engineering, Systems Integration, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Palantir Foundry, Deep Learning, Generative AI, AI-powered Productivity Tools, SC Clearance, Scikit Learn, Apache Kafka, Data Management, Machine Learning Operations, llama.cpp, Docker, Confluent, Databricks
- **Published:** November 13, 2026
- **Apply:** https://careers.boozallen.com/jobs/JobDetail?jobId=132970

## About the Role

* 1+ years of experience in artificial intelligence (AI), ML, data science, data engineering, or software development, including developing and deploying ML models
 * Experience integrating large language models (LLMs) or agentic workflows into software stacks
 * Experience with deep learning, computer vision, or generative AI
 * Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM
 * Experience using AI productivity tools for coding such as Cursor, Codex, or Devin
 * Ability to solve complex and critical problems, iterate rapidly, and deliver results independently and collaboratively
 * Ability to obtain a Secret clearance
 * Bachelor's degree

Nice If You Have:

 * 1+ years of experience working in cloud environments, including AWS and Azure
 * Experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes
 * Experience with client engagements, client-facing project work, and business development
 * Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other services
 * Experience with ML libraries and frameworks, including scikit-learn, TensorFlow, or PyTorch
 * Knowledge of cloud and data platforms such as AWS, Azure, GCP, Databricks, or Palantir Foundry
 * Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field

## Description

As a programmer, you know that machine learning (ML) 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 critical mission areas. As an ML engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll learn from a talented team of ML engineers across the company and collaborate with customers and other engineers to deliver world-class solutions to solve real world problems. Your technical knowledge will help clients navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for defense technology.