Developing MLOps Tools for Researchers/Auto extraction of Model Architecture Metadata
Students will design and contribute new features to the AI Model Share MLOps Platform. Projects will allow students first hand experience working with and developing MLOps tools including model deployment, continuous model improvement, and ML analytics. Individualized projects will allow students to 1) integrate advanced deep learning models into our system, 2) work on ML model replication tools, 3) integrate new ML dashboards into our toolkit, and more.
This project is eligible for a matching fund stipend from the Data Science Institute. This is not a guarantee of payment, and the total amount is subject to available funding.
Faculty Advisor
- Professor: Michael, Parrott
- Center/Lab: AI Model Share Initiative
- Location: 420 West 118th Street (International Affairs Building) – 5th floor, 509c
- The objective of the AI Model Share Initiative is to develop tools that democratize access to, and understanding of, machine learning models. The Initiative acts as a non profit lab for ML innovation.
Project Timeline
- Earliest starting date: 10/15/2022
- End date: 5/15/2023
- Number of hours per week of research expected during Fall 2022: ~10
Candidate requirements
- Skill sets: Python with experience building deep learning models. Optional: Intro level or higher experience with AWS S3, Lambda, or other cloud services.
- Student eligibility:
freshman,sophomore, junior, senior, master’s - International students on F1 or J1 visa: eligible
- Academic Credit Possible: Yes
- Additional comments: Passion for ML and user friendly automation tools