As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare.
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
- As a machine learning engineer, you'll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features.
- You'll leverage your technical expertise in AI.
- You'll develop new robust, secure, and performant production-grade software.
- You’ll use your communication skills to work with a team to build, test, and operate system capabilities.
- You’ll leverage your expertise with full-stack web application development, experience with software design and implementation on large codebases, and learn new languages, technologies, and codebases quickly.
- You will apply your expertise with AI - GenAI, Agentic AI, and LLMs, and work independently while collaborating with a team to build complex features, integrations, and modules
- Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Other
- Secret clearance is required.
- Ability to work in a Linux environment with Bash Scripting
- As part of the application process, you are expected to be on camera during interviews and assessments.
- We reserve the right to take your picture to verify your identity and prevent fraud.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
