AI and ML Engineer

Booz Allen Hamilton•Usa, VA

13d•$99,000 - $225,000

About The Position

AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on workflow 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 research and development for a key national defense client. As an Artificial Intelligence (AI) and Machine Learning (ML) Engineer on our intelligence 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 software developers and engineers as well as end users to deliver world-class solutions to develop and drive solutions to remote sensing issues for operations clients. You will be testing and driving AI/ML concepts and solutions for a data-intensive system. As data feeds continue to be brought online, the relatively fixed number of operators needs your help driving solutions. Your advanced 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 challenges and define ML strategy. Join us. The world can’t wait.

Requirements

4+ years of experience in delivering AI and ML based solutions for object identification and classification
4+ years of experience with Python coding, including for AI and ML solutions
Experience with remote sensing image processing, data exploitation, and algorithm development
Experience with software configuration management using Git
Ability to execute machine learning models in a Linux environment
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree and 4+ years of experience in AI and ML, or 8+ years of experience in AI and ML in lieu of a degree

Nice To Haves

Experience with container technology, including Docker or Podman
Experience with PyTorch and Tensor Flow
Knowledge of passive EO or IR systems
Ability to work with limited guidance and clear direction
Possession of excellent verbal and written communication skills, including with peers and clients
Bachelor’s degree in Data Science or an Engineering field such as AI and ML Engineering preferred
Master’s degree in Data Science or an Engineering field such as AI and ML Engineering a plus

Responsibilities

train
test
deploy
maintain models that learn from data
own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
collaborate with software developers and engineers as well as end users to deliver world-class solutions to develop and drive solutions to remote sensing issues for operations clients
testing and driving AI/ML concepts and solutions for a data-intensive system
guide clients as they navigate the landscape of ML algorithms, tools, and frameworks