MLOps Engineer

Booz Allen Hamilton•San Antonio, TX

1d•Remote

About The Position

As an experienced MLOps engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Agentic AI platform development. As a MLOps engineer on our Air Power team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with AI software, DevSecOps, and data engineers to deliver world-class solutions for a working Agentic AI Platform. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for Air Force Agentic Systems. Join us. The world can’t wait.

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.