AI & ML Engineer

Booz Allen Hamilton
McLean, VA2026-04-14Full time

About the job

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 support end-trend artificial intelligence (AI) solutions in a fast-paced, Agile environment. As a machine learning engineer, 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 machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to address the challenges of integrating, evolving, and rapidly scaling new and emerging AI capabilities. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Responsibilities

No responsibilities listed.

Qualifications

Minimum

3+ years of experience with machine learning and data science

3+ years of experience with Python, including interfacing with LLMs

1+ years of experience implementing, testing, and fielding automation for artificial intelligence and machine learning solutions

Experience with Databricks

Experience with clients, including requirements gathering

Ability to obtain a Secret clearance

Bachelor's degree

Preferred

Experience deploying apps such as Streamlit or Flask

Experience with UX/UI

Experience with business development, including capture or proposal

Experience with research, including figuring out what is out there and applying it to problems

Experience with Apache Spark and big data technologies

Experience with Containerization

Experience with cloud services, including AWS, Azure, or GCP

Experience with Git and collaboration tools

Master's degree