Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
About the role
- MLOps Engineer developing, testing, and maintaining machine learning models at Booz Allen. Collaborating with software developers and data scientists to deliver AI-powered solutions.
Responsibilities
- train, test, deploy, and maintain models that learn from data
- own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
- collaborate with data scientists, software developers, and cloud data engineers to deliver world-class solutions to invent and generate models for automation and decision making
- guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
Requirements
- 4+ years of experience with machine learning engineering on software engineering or data engineering projects
- Experience building AI-enabled features or prototypes using LLMs, embeddings, or 3rd party APIs, including OpenAI or Anthropic
- Experience with basic prompt engineering concepts and using LLM SDKs or frameworks, including LangChain or LlamaIndex
- Experience using Databricks and MLFlow to efficiently manage data and ML workflows and optimizing performance and scalability for model experimentation, governance, or inferencing
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program acknowledges employees for exceptional performance
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