Required:

·       2+ years of relevant experience

·       Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

·       Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)

·       Coursework related to machine learning, deep learning, and programming

·       At least an introductory understanding of LLMs and prompt engineering

·       Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain

·       Demonstrated ability to write high-quality code

·       Demonstrated ability to develop machine learning models

• Ability to travel as needed (<25%)

Preferred:

·       3+ years of relevant experience

·       Master’s degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

·       Relevant work experience (internships, school jobs, etc.)

·       Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps

·       Familiarity with machine learning model development life cycles

·       Experience with version control practices and tools (Git, etc.)

·       Public AI-related projects you have developed available on GitHub