Senior Machine Learning Engineer

Job Number: R0230671

Machine Learning Engineer, Senior
The Opportunity:

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to c ond uct 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 the advancement of ML throughout the Department of Defense. As a Machine Learning Engineer on our Enterprise Technology team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, and AI engineers to deliver world-class solutions to accelerate mission impact in our country's most vital tasks. Your 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 the Department of Defense.

Join us. The world can't wait.

You Have:

• 5+ years of experience in data science or machine learning, including developing and deploying machine learning models
• Experience working on large-scale data projects and handling big data technologies and platforms such as Hadoop or Spark
• Experience with programming languages such as Python, R, and Java or Scala for data manipulation and model building
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure for deploying ML solutions
• Knowledge of data engineering concepts, including data pipelines, ETL processes, and data warehousing
• Ability to collaborate effectively with cross-functional teams, including data engineers, product managers, and business stakeholders
• Secret clearance
• Bachelor's degree in Mathematics, Computer Science, or Statistics

Nice If You Have:

• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Experience with real-time data processing and streaming technologies such as Kafka
• Experience with U.S. government and Department of Defense applications of ML
• Knowledge of agentic AI and advances in AI ethics
• Ability to mentor and lead junior data scientists and engineers, providing guidance and knowledge transfer
• Ability to communicate complex technical solutions to non-technical audiences, ensuring business alignment
• TS / SCI clearance
• Master's degree in a related field

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 $99,000.00 to $225,000.00 (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.