AI and ML Engineer

USA, VA, McLean (8283 Greensboro Dr, Hamilton), United States

Booz Allen Hamilton

Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.

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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 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 our clients' challenges. As a machine learning engineer on our 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 machine learning engineers across the firm and collaborate with mission experts to deliver world class solutions to deliver solutions to missing focused problems. 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 strategies for our clients.  

Join us. The world can’t wait. 

You Have:  

  • 3+ years of experience with artificial intelligence data science, machine learning engineering, or data analytics

  • 2+ years of experience with implementing, testing, and fielding automation artificial intelligence and machine learning solutions

  • Experience with software and artificial intelligence projects

  • Experience with a programming language, including Python, Scala, or Java

  • Experience with project work in deep learning, computer vision, NLP, or signal processing

  • Experience with using AI and ML frameworks

  • Knowledge of modern software design patterns

  • Secret clearance

  • HS diploma or GED

Nice If You Have:  

  • Experience in embedded systems programming in C, C++, or Rust

  • Experience with GPU programming, such as CUDA or RAPIDs

  • Experience with modern cloud computing technologies, including Docker

  • Experience with deploying applications in a Cloud environment, including AWS or Azure

  • Ability to gather requirements from customers and lead Agile teams

  • Amazon Certified Solutions Architect and Associate Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $75,600.00 to $172,000.00 (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.

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Tags: Agile AWS Azure Computer Vision CUDA Data Analytics Deep Learning Docker Engineering GPU Java Machine Learning NLP Python Rust Scala Security Statistics Testing

Perks/benefits: Career development Health care

Region: North America
Country: United States

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