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Booz Allen Hamilton · 2 hours ago

MLOps Engineer, Senior

Annapolis Junction, MD

Full-time

Hybrid

Mid, Senior Level

$99K/yr - $225K/yr

4+ years exp

Booz Allen Hamilton is looking for an MLOps Engineer to help design and architect an MLOps platform in the Cloud, aimed at enhancing the intelligence community's operations. The role involves streamlining the development life cycle, implementing continuous integration and deployment, and collaborating with an Agile development team to support machine learning initiatives.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design and architect an MLOps platform in the Cloud

Streamline the development life cycle from development to production

Work with a collaborative Agile development team to build and maintain Cloud software and infrastructure that supports machine learning across the enterprise

Implement continuous integration and deployment to development, testing, and production environments

Identify new opportunities to build solutions and architecture to help customers meet their toughest challenges

Qualification

PythonCloud technologiesMLOps platformsContainerized applicationsAgile developmentAWSKubernetesIaC toolsVersion controlMachine LearningSoft skills

Required

4+ years of experience with Object-Oriented Programming (OOP), including in Python

4+ years of experience with developing containerized applications, including API design and authentication

3+ years of experience with developing software using cloud technologies, including AWS

3+ years of experience with 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

Preferred

Experience developing prompts, tools, and agents with LLMs

Experience with AWS SageMaker, Lambda, API Gateway, DynamoDB, S3, and IAM

Experience with Kubernetes

Experience with IaC tools like Helm and Terraform

Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment

Experience with version control tools, including Git

Bachelor's degree preferred; Master's degree a plus

Security+ CE, SSCP, CCNA-Security, or GSEC Certification