Booz Allen needs a Machine Learning Engineer to support federal healthcare by creating innovative solutions to complex challenges, leveraging machine learning to understand and process massive datasets.
Requirements
- 2+ years of experience with machine learning engineering, including in an academic or professional environment
- Experience with natural language processing and language models
- Experience with RAG and Generative AI techniques
- Experience with building agentic AI capabilities
- 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
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
- Bachelor's degree in Science, Technology, Engineering, or Mathematics
- Ability to work in a Linux environment with Bash Scripting
- Master's degree in Computer Science or Computer Engineering
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
