Booz Allen Hamilton-posted 11 days ago
$99,000 - $225,000/Yr
Full-time • Mid Level
Ashburn, VA
1-10 employees

AI and ML Engineer The Opportunity: Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As a seasoned data professional, you know that machine learning ( ML ) is critical to understanding and processing massive datasets. We need your technical expertise to support our clients in applying artifi cia l intelligence ( AI ) to accelerate effect generation on targets of opportunity. As an ML engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. Your ability to lead statistical analyses on business processes using ML techniques is key and makes you an integral part of delivering a customer-focused solution. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of ML engineers across the company and collaborate with stakeholders, data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to enable innovative solutions to real world problems. If you have the drive to solve real-world challenges and define ML strategy in support of our clients, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and in return, we’ll invest in your future. Work with us to solve real-world challenges and define ML strategy for our clients. Join us. The world can’t wait.

  • 5+ years of experience with AI and ML, including the development of prototypes
  • 5+ years of experience with Python
  • Experience with Generative AI, including LLMs, Fine-Tuning, or RAG implementation
  • Experience using AI frameworks, including Pytorch, TensorFlow, or Jax
  • Experience with Generative AI and Agentic AI libraries, including LangChain, LangGraph, Hugging Face libraries, and cloud-based environments such as Google Vertex and AWS SageMaker
  • Experience working with Agile met hodologies
  • Knowledge of modern sof tware design patterns, including microservice design or Edge computing
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in Science, Mathematics, Physics, or CS
  • Experience deploying models via REST APIs using frameworks such as FastAPI, Flask, or Django
  • Experience with data transfer, management, and orchestration frameworks such as Apache Kafka, Dask, Ray, and Apache Airflow
  • Experience managing Kubernetes container orchestration platforms, including Rancher, OpenShift, k3s, or Kubeadm
  • DHS Suitability
  • Master’s degree in CS or Statistics preferred; Doctorate degree in CS or Statistics a plus
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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