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 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 need 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.

You Have:

• 4 years of experience delivering AI/ML based solutions for object identification and classification

• 4 years of experience with Python coding, including for AI/ML solutions

• Experience with remote sensing image processing, data exploitation, and algorithm development

• Experience with software configuration management using Git

• Active TS/SCI clearance; willingness to take a polygraph exam

• Bachelor's degree and 4 years of experience in AI/ML or 8 years of experience in AI/ML in lieu of a degree

Nice If You Have:

• Experience in GEOINT

• Experience with container technology, including Docker or Podman

• Experience with Py Torch and Tensor Flow

• Knowledge of passive EO and 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 AI/ML Engineering, Data Science, or an Engineering field preferred; Master’s degree in AI/ML Engineering, Data Science, or an Engineering field a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.