Machine Learning Infrastructure Engineer

This role involves designing and implementing end-to-end model lifecycle patterns and MLOps capabilities, including data preparation, model management, and deployment workflows. The position requires leading the zero-to-one development of graph machine learning infrastructure and optimizing model performance across large distributed environments. Additionally, the role focuses on architecting scalable pipelines for massive graph data structures and building cloud-based infrastructure to support machine learning platforms.