Key Role:

Perform as a member in our elite Digital Battlespace Platform (DBP) team to build next generation technologies for our defense clients leading our materials and science engineering efforts. Process data and information as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with ML technologies. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions.

Basic Qualifications:

• 2+ years of experience developing, training, testing, and integrating AI and ML models

• Experience with custom tools, including Python, Shell Scripting, SQL, or Cloud storage tools

• Experience optimizing and compressing AI and ML models for small form factor edge compute devices, including quantization or pruning

• Experience creating benchmark datasets and Python packages to facilitate data science objectives

• Experience conducting research and the implementation of the latest advancements in ML to analyze and process large-scale spatio-temporal data for edge processors

• Experience developing and testing AI and ML models for low size, weight, and power (SWAP), and small form factor edge devices, including Qualcomm Snapdragon, Nvidia Jetson Xavier and Orin, or Raspberry Pi

• Experience deploying models in Docker or Docker compose

• Ability to obtain a Secret clearance

• HS diploma or GED

Additional Qualifications:

• Experience using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobile

• Experience implementing ML pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART

• Experience in defense

• Ability to work with clients to deploy ML systems in existing networks using virtual machines or containerization

• Possession of excellent analytical and problem-solving skills, in highly complex environments

• Master’s degree in Engineering, Computer Science, or Data Science

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.