You will support product development across generative AI and machine learning application development, deployment, system monitoring, ML management, and DevOps.
Responsibilities
- Drive the end-to-end model development lifecycle, championing best practices for reproducible research and software delivery.
- Translate complex business problems into projects with clearly defined scope and ensure timely deliverables.
- Collaborate with product teams to integrate and deploy developed work into production environments.
- Iterate rapidly on improvements, fostering innovative approaches to solve real-world challenges.
- Communicate technical concepts clearly to both technical and non-technical audiences, leading AI adoption efforts.
Required Skills
- Master’s or Bachelor’s degree in a relevant discipline (relevant experience accepted in lieu of degree).
- At least 3+ years practical experience building AI/ML products and applications.
- Demonstrable recent experience using Generative AI technologies such as RAG patterns, ReAct, or LangChain for summarization, knowledge graphs, or information extraction.
- Proficiency in Python.
- Solid software engineering skills and hands-on coding experience in AI/ML projects.
- Experience designing, developing, and implementing machine learning models and algorithms.
- Ability to obtain and maintain a U.S. national security clearance and U.S. Citizenship is essential.
- Experience as a technical leader, breaking down complex problems and formulating R&D plans.