AI and ML Engineer

Booz Allen Hamilton•Lorton, VA

2d•Hybrid

About The Position

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 warfighter performance. As an ML engineer on our warfighter 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 grow within a talented team of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, Mission SMEs, and product owners to deliver world-class solutions to optimize and predict performance. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for warfighter performance. Join us. The world can’t wait.

Requirements

4+ years of experience developing and deploying machine learning models in production or research environments
Experience in Python and ML frameworks
Knowledge of ML algorithms, statistics, model optimization, and evaluation methodologies
Ability to obtain a Secret clearance
Bachelor’s degree in a Computer Science, Data Science, or Engineering field

Nice To Haves

Experience with cloud platforms, such as AWS, Azure, or GCP
Experience with developing tools for scalable ML systems, such as SageMaker, Azure ML, or Vertex AI
Experience with LLMs, generative AI, RAG systems, and prompt engineering
Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling, orchestration libraries such as LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI
Experience with edge AI optimization and deployment, including model quantization, pruning, and distillation, and deployment to edge and embedded hardware using frameworks such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite
Experience building data pipelines
Experience with MLOps practices including CI/CD for ML, model versioning, monitoring, and deployment automation
Possession of strong problem-solving skills
Master’s degree preferred; Doctorate degree a plus

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with data engineers, data scientists, solutions architects, Mission SMEs, and product owners to deliver world-class solutions to optimize and predict performance.
Help clients navigate the landscape of ML algorithms, tools, and frameworks.
Define ML strategy for warfighter performance.