Description
Adobe is hiring an engineer to build and operate a unified fraud graph that merges behavioral and account data from multiple sources. The role covers graph schema design, large-scale ingestion and feature pipelines on Databricks and Spark, Graph Data Science algorithms, Graph Neural Networks, production graph systems, operational health, MLOps, and collaboration with data science, product, and platform teams. Candidates need a bachelor's or graduate degree or equivalent experience, at least six years of professional experience building and deploying data or machine learning solutions at scale, Python programming, and practical experience with graph platforms and GDS algorithms.
