Building Machine Learning Infrastructure At Scale
Efficient machine learning infrastructure is the key to unlocking the power of AI. Since the machine learning process is different from the software engineering process with dependency on data and being more experimental and iterative. The talk focuses on a comprehensive overview of all components of building a scalable machine learning infrastructure.
Jerry Xu is the Architect for Business Integrity's Machine Learning Infrastructure at Facebook. Jerry has over 20 years of experience building high-performance and large-scale systems with multiple engineering and leadership positions at Lyft, Box, Twitter, Zynga, and Microsoft. Before joining Facebook, he was the co-founder and CEO at Datatron Technologies, a pioneer in MLOps automation. Jerry holds several patterns on machine learning and data storage.