AI and ML Engineer

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.  You Have:    2+ years of experience with AI and ML, including the development of prototypes 2+ years of experience in Python Experience in 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 Nice If You Have:    Experience with GCP, Azure, or AWS Experience with Google products, including Gemini or Vertex AI Experience with AWS Bedrock or Azure Foundry 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 Vetting:    Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is