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 consulting 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 for our clients.
Join us. The world can’t wait.
You Have:
5+ 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, including Pytorch or TensorFlow and multiple libraries
Knowledge of modern software design patterns, including microservice design or edge computing
Secret clearance
Bachelor's degree in Computer Science or Statistics
Nice If You Have:
Experience working with the Department of Defense
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
Master’s degree in Computer Science, Statistics, or a related field
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.
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.
