Data engineer / Machine learning to build event matching system across prediction markets

About the Role

We are looking for a specialist to help develop a methodology or tool for matching identical events across different platforms (e.g., Kalshi and Polymarket). The data includes a list of events with different names, tags, and unique IDs that do not match across sources. The goal is to identify which records refer to the same real-world event despite differences in wording and data structure.

It is important to ensure high matching accuracy.