MLOps Engineer

About the role

Booz Allen is looking for an experienced machine learning engineer to help design, build and maintain a cloud-based MLOps platform that shortens the time from development to production of new capabilities, supporting mission-critical operations. The role sits on an Agile, highly collaborative team and involves implementing and refining CI/CD workflows across development, test and production environments.

Key responsibilities

• Help design, build and maintain cloud-based software and infrastructure that powers enterprise-wide machine learning.
• Implement and refine CI/CD workflows across development, test and production environments.
• Expand skills in Agile development, cloud-native engineering, containerization and serverless technologies.
• Identify opportunities to architect new solutions, enhance existing pipelines and guide mission partners through technical challenges.

Required profile

• 5+ years of experience with object-oriented programming, including Python.
• 5+ years developing containerized applications, including API design and authentication.
• 5+ years developing software using cloud technologies, including AWS.
• 5+ years leveraging MLOps platforms and ML CI/CD workflows to manage datasets, model training, deployment and monitoring.
• 5+ years developing prompts, tools and agents with large language models (LLMs).
• Knowledge of the ML lifecycle and concepts needed to build an MLOps ecosystem.
• TS/SCI clearance with a polygraph; applicants are subject to a security investigation and must meet eligibility requirements for classified information.
• Bachelor's degree in CS or Software Engineering; ability to obtain a Security+ CE, SSCP, CCNA-Security or GSEC certification within 6 months of hire.

Nice to have

• Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, Bedrock and IAM.
• Experience with Kubernetes and IaC tools such as Helm and Terraform.
• Experience building, containerizing and deploying end-to-end automated data and ML pipelines in the cloud.
• Experience with Git and a Master's degree.

What we offer

• Projected annual salary range of $99,000 to $225,000 depending on location, qualifications and experience.
• Health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance and work-life programs.
• A recognition awards program for exceptional performance.