Booz Allen
intelligence community
MLOpsEngineer,Mid
Neural analysis suggests this role is
optimal for Mid candidates.
“MLOps Engineer, Mid at Booz Allen. Skills: MLOps, Cloud, Python, containerization, CI/CD. design and architect an MLOps platform in the Cloud. shorten the time it takes to get new capabilities from development to production”
What You'll Achieve.
shortens the time it takes to get new capabilities from development to production; improve national security
Industry & Context.
help your customers meet their toughest challenges
Top Secret clearance, Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date, identity verification process that leverages advanced biometrics and artificial intelligence, expected to be on camera during interviews and assessments, reserve the right to take your picture to verify your identity and prevent fraud, use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided, employees working virtually are generally expected to have their cameras on during meetings
What They're Looking For.
Must Have
Object-Oriented Programming (OOP), including in Python, developing containerized applications, including API design and authentication, developing software using cloud technologies, including AWS, leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment, and monitoring, Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem, Top Secret clearance, HS diploma or GED, Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date
Nice to Have
developing prompts, tools, and agents with LLMs, AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, and IAM, Kubernetes, IaC tools like Helm and Terraform, design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment, version control tools, including Git, Bachelor’s degree, Master’s degree, Security+ CE, SSCP, CCNA-Security, or GSEC Certification
What You'll Do.
design and architect an MLOps platform in the Cloud
shorten the time it takes to get new capabilities from development to production
streamline our development life cycle from development to production
build and maintain Cloud software and infrastructure that supports machine learning across the enterprise
implement continuous integration and deployment to development
and production environments
identify new opportunities to build solutions and architecture
build tools to transform the future of the IC
How You'll Work.
Team & Collaboration
working with a collaborative Agile development team
Process & Methodology
Agile development
Full Job Description
MLOps Engineer, Mid **The Opportunity** : 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 an MLOps 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 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. Join us. The world can’t wait. **You Have:** * Experience with Object-Oriented Programming (OOP), including in Python * Experience with developing containerized applications, including API design and authentication * Experience with developing software using cloud technologies, including AWS * Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage datasets and model training, deployment,
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