AI & ML Engineer

Booz Allen HamiltonChantilly, VA
10h

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 our client's cyber mission. 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 users, software engineers, and data scientists to deliver world-class solutions to develop and deploy novel AI and ML solutions to tackle novel cyber challenges. 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 cyber national security clients. Join us. The world can’t wait.

Requirements

  • 3+ years of experience building and deploying AI and ML solutions into production
  • Experience with Python programming
  • Experience with object-oriented programming and best practices
  • Experience adapting and fine-tuning open-source models such as YOLO or BERT
  • Experience building applications leveraging LLMs for automation tasks such as text summarization
  • Experience with containerization technology such as Docker
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice To Haves

  • Experience with Reverse Engineering
  • Experience with vector databases such as Qdrant and relational databases such as Postgres
  • Experience with on-prem compute
  • Knowledge of MITRE ATT&CK framework

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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