Machine Learning Engineer, Junior

The Challenge:

Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you could find a position that is tailor made for your mix of development, engineering, and analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That’s why we need you, an experienced machine learning engineer, to help us design and architect an MLOps platform in the Cloud that shortens the time it takes to get new capabilities from development to production to support mission critical operations.

As a machine learning engineer on our team, you’ll use your development experience to streamline our development life cycle from development to production. You’ll be working with a small collaborative agile development team to build and maintain cloud software and infrastructure that supports machine learning across the enterprise. You’ll implement continuous integration and deployment to development, testing, and production environments. This is an opportunity to broaden your skill set into areas like agile development, cloud-based development, containerization, and serverless while developing software that will improve national security. As a machine learning engineer, you’ll identify new opportunities to build solutions and architecture to help your customers meet their toughest challenges. Join our team as we build tools to transform the future of the IC.

Empower change with us. 

You Have:

  • 1+ years of experience as a software developer, data engineer, or data scientist
  • 1+ years of experience with designing, developing, deploying, and testing in Amazon Web Services (AWS) and using tools including Lambda, Sagemaker, S3, Cloud Formations, and IAM permissions 
  • Experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
  • Experience with Python
  • Experience with version control tools including Git
  • TS/SCI clearance with a polygraph
  • HS diploma or GED
  • Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire

Nice If You Have:

  • Experience with an Agile release methodology
  • Experience with using ML tools, including Tensorflow, scikit-learn, pytorch, or similar frameworks
  • Experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines within a cloud environment
  • Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
  • Knowledge of the ML life cycle and concepts to develop an MLOps ecosystem
  • TS/SCI clearance with a polygraph preferred
  • Bachelor’s degree preferred, Master’s degree a plus
  • Security+ CE, SSCP, CCNA-Security, or GSEC Certification
  • AWS Certifications


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.

Build Your Career:

A challenging and dynamic work environment isn’t all we have to offer. When you join Booz Allen, you’ll have access to:

  • experts in virtually every field
  • a culture that focuses on supporting our employees
  • opportunities that provide stability while offering variety

You’ll also be exposed to a wealth of training resources through our Digital University, an online learning portal featuring more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

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.

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