Aviation AI/ML Engineer

Booz Allen HamiltonUsa, DC
3d$99,000 - $225,000

About The Position

Aviation 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 aviation safety . As a machine learning engineer on our aviation 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 data engineers, data scientists, solutions architects, and aviation experts to deliver world class solutions to build a product that transforms aviation safety . 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 our nation’s airspace . Join us. The world can’t wait.

Requirements

  • 5+ years of experience with Automatic Speech Recognition (ASR)
  • 5+ years of experience with model fine-tuning and deployment
  • 5+ years of experience with Large Language Model (LLM) integration
  • 5+ years of experience with custom machine learning modeling (PyTorch, scikit-learn)
  • Experience with executive-level summaries and briefings
  • Knowledge of FAA operations
  • Ability to work cross-functionally with various product work teams
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor’s degree

Nice To Haves

  • Experience with Databricks
  • Experience with AWS
  • Experience with aviation, geospatial, and weather datasets
  • Experience with Causal Modeling
  • Experience with Agentic Workflows

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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