Booz Allen needs a Machine Learning Engineer to support federal healthcare by creating innovative solutions to complex challenges, understanding and processing massive datasets using machine learning, and defining ML strategy for healthcare in the federal government.
Requirements
- 2+ years of experience with machine learning engineering, or postdoctoral research for machine learning
- Experience with natural language processing and language models
- Experience with RAG and Generative AI techniques
- Experience with programming in Python, Java, or C++
- Experience with developing software architectures with containerization tools, including Docker and Kubernetes
- Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches
- Experience with databases, including SQL
Responsibilities
- breaking down use cases, designing, and implementing complex system modules, interfaces, and features
- Leverage your technical expertise in AI
- develop new robust, secure, and performant production-grade software
- build, test, and operate system capabilities
- leverage your expertise with full-stack web application development
- experience with software design and implementation on large codebases
- apply your expertise with AI - GenAI, Agentic AI, and LLMs
Other
- Secret clearance is required
- Bachelor's degree
- Ability to work in a Linux environment with Bash Scripting
- use your communication skills to work with a team
- work independently while collaborating with a team
