AI/ML Engineer

Booz Allen HamiltonAnnapolis Junction, MD
21h$99,000 - $225,000

About The Position

AI/ML Engineer The Opportunity: As an experienced 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 high-impact national security missions. As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of machine learning engineers across the company and collaborate with developers, analysts, and subject matter experts to deliver world class solutions to automate network analysis and ensure analyst time is deployed against our toughest problems. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can’t wait.

Requirements

  • 3+ years of experience with Python
  • 1+ years of experience with modeling time-domain data
  • 1+ years of experience with deep learning and neural networks
  • Ability to deploy TensorFlow models
  • TS/SCI clearance
  • Bachelor's degree

Nice To Haves

  • Experience with MCP or Agent Skills for use with LLMs
  • Experience working with Splunk

Responsibilities

  • Train, test, deploy, and maintain models that learn from data.
  • Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
  • Collaborate with developers, analysts, and subject matter experts to deliver world class solutions to automate network analysis and ensure analyst time is deployed against our toughest problems.
  • Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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