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 the next generation of systems. As a machine learning engineer on our team, you’ll train, test, deploy, and maintain models that learn from data.

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 $55,300.00 to $ (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.

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.

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.

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.

• Experience in AI, Python programming, and deep learning frameworks, such as PyTorch, MXNet, Tensor Flow, or Keras, and big data technologies, such as Hive, PySpark, Synapse, or Databricks
• Experience developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions
• Experience working with API services for serving NLP and analytical models, such as Flask or Fast API
• Experience with Dev Ops Tools, such as Docker, K8s, or Gitlab CI/CD
• Knowledge of AI-enabled systems
• Knowledge of AI concepts, such as clustering, regression, algorithm selection, and evaluation
• Ability to address unbounded technical issues and problem-solve
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• HS diploma or GED

• Experience with HTML, CSS, and front-end web frameworks
• Experience with Amazon Web Services (AWS) or Azure AI ML Services, such as Bedrock and Sagemaker
• Experience working in enterprise systems
• Experience with Data Operations, such as analytics, engineering, or platform
• Knowledge of artificial intelligence principles and practices, including deploying ML models into production
• Ability to evaluate algorithm performance
• Bachelor's degree
• Security+, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification