AI/ML Engineer
Booz Allen Hamilton
McLean, VA1+ yrs1h agovia LinkedIn
This job at a glance
- Who can apply
- 1 year+ of experience · Bachelor's degree
- Must know
- Data structures & algorithmsLLMsDeep learningComputer vision
- Nice to have
- Machine learningPyTorchTensorFlowAWS
- Work
- On-site in McLean
- Pay
- Not stated by the employer.
- Skill demand
- LLMs70%Data structures & algorithms20%Deep learning19%Computer vision9%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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About the Role
As an AI/ML Engineer on Booz Allen Hamilton's defense technology team, you will train, test, deploy, and maintain models that learn from data. You will contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will learn from a talented team, collaborate with customers and other engineers to solve real-world problems, and help clients navigate the landscape of ML algorithms, tools, and frameworks.
Key Responsibilities
- Train, test, deploy, and maintain models that learn from data.
- Apply best-fit ML algorithms and technologies to mission-critical solutions.
- Collaborate with customers and other engineers to deliver solutions.
- Help clients navigate the landscape of ML algorithms, tools, and frameworks.
- Define ML strategy for defense technology.
Requirements & Tech Stack
- 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.
Qualifications
- Bachelor’s degree.
Nice to 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.