You will develop and deploy generative AI and machine learning applications while supporting production systems and feature development.
Responsibilities
Drive the end-to-end model development lifecycle, ensuring reproducible research and managed software delivery.
Translate complex business problems into scoped projects, accountable for timely deliverables.
Develop and implement machine learning models and algorithms in production environments.
Interface with stakeholders to deliver workable solutions meeting customer and technical requirements.
Required Skills
Proficiency in Python.
3+ years practical experience building AI/ML products and applications.
Demonstrable experience using Generative AI technologies (RAG patterns, ReAct, LangChain) for summarization, knowledge graphs, or information extraction.
Solid software engineering skills and experience.
Hands-on coding experience on AI/ML projects in a current role.
Experience as a technical leader, breaking down complex problems and coordinating efforts.
Ability to obtain and maintain a U.S. national security clearance.
U.S. Citizenship is essential.
Experience with Pytorch, Tensorflow, Scikit-learn, OpenAI, Langchain, Semantic Kernel, AWS, or Azure.
Preferred Skills
6+ years practical experience using AI and ML to solve diverse or ambiguous problems.