MLOps Engineer

Booz Allen Hamilton•San Antonio, TX

1d•Remote

About The Position

As an experienced MLOps engineer, you will leverage machine learning to understand and process massive datasets, conducting statistical analyses on business processes using ML techniques to deliver customer-focused solutions. This role involves supporting Agentic AI platform development on the Air Power team, where you will train, test, deploy, and maintain models that learn from data. You will lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. Collaboration with a large community of machine learning engineers, AI software, DevSecOps, and data engineers is essential to deliver world-class solutions for a working Agentic AI Platform. Your expertise will guide clients through ML algorithms, tools, and frameworks, solving real-world challenges and defining ML strategy for Air Force Agentic Systems.

Requirements

Experience deploying production-grade ML models
Experience with data ingestion and model output
Knowledge of MLOps Frameworks and container systems such as Kubernetes or Docker
HS diploma or GED

Responsibilities

Train, test, deploy, and maintain models that learn from data
Lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies
Share knowledge with a large community of machine learning engineers across the company
Collaborate with AI software, DevSecOps, and data engineers to deliver world-class solutions for a working Agentic AI Platform
Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
Solve real-world challenges and define ML strategy for Air Force Agentic Systems