AI & ML Engineer, Mid

Job Number: R0232913

As an experienced engineer, learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As an AI and ML engineer, you understand the need for robust, scalable tools that enable efficient ML workflows at the enterprise level, enabling data scientists to build, test, and deploy models  need your technical knowledge and desire to problem‑solve to support civil engineering clients within the Department of War.

In this role, you'll own and define the direction of mission‑critical solutions by applying best‑fit ML algorithms and technologies. As an ML engineer, you'll help define and develop MLOps pipelines and containerized solutions to enable secure, robust delivery of models to the enterprise. You'll work closely with your client to understand their questions and needs, and then dig into their data‑rich environment to find the pieces of their information puzzle.

You'll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. 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 help define AI and ML strategy for our clients.

Join us. The world can't wait.

• 1+ years of experience with data science, machine learning engineering, data analytics, or data research
• 1+ years of experience with an object‑oriented language such as Python, C, or Java
• Experience with AWS or Azure cloud technologies
• Experience building data science and AI or ML solutions that support enterprise operational business and mission use case
• Experience with MLOps open‑source and Commercial Off the Shelf (COTS) products such as MLFlow, Databricks, Domino, or Sage Maker
• Experience with projects in NLP, generative AI, or deep learning focus
• Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution
• Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders
• Ability to obtain a Secret clearance
• Bachelor's degree

• Experience with Generative AI and Large Language Model (LLM) tools and frameworks
• Experience with modern Cloud containerization computing technologies and CI/CD, including Docker or Kubernetes
• Experience with Huggingface, Lang Chain, AutoGPT, or Agent
  
  GPT, or similar tools
• Experience with GPU programming, including CUDA or RAPIDs
• Experience addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions
• Secret clearance
• Master's degree in Computer Science or Statistics

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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.

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