AI and ML Engineer

Booz Allen Hamilton•Annapolis Junction, MD

2d•$99,000 - $225,000

About The Position

AI and ML Engineer The Opportunity: As an experienced engineer, 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 develop AI/ML solutions for challenging customer problems. As an ML engineer on our national security 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 applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the company and collaborate with data scientists, solutions architects, subject matter experts, product owners, and end users to deliver world class AI/ML solutions to a wide variety of national security problems. 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 national security challenges in AI/ML. Join us. The world can’t wait.

Requirements

3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
Experience applying AI/ML research to develop AI/ML solutions
Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
Knowledge of the Software Development Life Cycle (SDLC) and commonly used tools such as Git
Ability to work independently with limited guidance and direction
TS/SCI clearance with a polygraph
Bachelor's degree in a CS, AI, Mathematics, or Statistics field

Nice To Haves

Experience in rapid prototyping or developing proofs of concepts to demonstrate or validate AI/ML capabilities
Experience deploying AI/ML solutions into production environments using end-to-end model pipelines and tools such as Docker or Kubernetes
Experience with AI agent frameworks, including LangChain or LlamaIndex
Experience fine-tuning large-scale models for domain-specific tasks in secure or fully isolated, air-gapped environments
Experience leading small teams of AI/ML developers or researchers
Experience with high performance computing
Experience with major cloud platforms such as AWS, and their respective AI services such as SageMaker
Experience with data analysis and creation of data-driven visualizations
Master’s degree in CS, AI, Mathematics, Statistics, or a related field