This role pays less than
55%
of similar roles. Most pay
$126,800–$231,150
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$179k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1159 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 804 roles with salary data.
As an MLOps Engineer on an Agile team, you will design, build, and maintain cloud-based software and infrastructure that powers enterprise-wide machine learning. You will be responsible for implementing and refining CI/CD workflows across development, test, and production environments while architecting new solutions to enhance existing pipelines and guide mission partners through technical challenges. The role requires expertise in Python, Object-Oriented Programming, containerized applications, and AWS cloud technologies. You will work with tools such as SageMaker, Lambda, API Gateway, DynamoDB, S3, Bedrock, IAM, Kubernetes, Helm, Terraform, and Git. Additionally, you will develop prompts, tools, and agents with LLMs to manage the ML lifecycle. This role focuses on building an MLOps platform in the cloud to shorten the time required to move new capabilities from development to production for mission-critical operations within the intelligence community.