Cloud-Based Entity Resolution Specialist

2 days ago


bangalore, India beBeeDataScience Full time

Senior AIThis is an opportunity to solve intricate technical challenges, from real-time very large data processing to advanced analytics and optimisation on very large network graphs and interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence and promotes ethical decision-making.The role offers the chance to work on advanced network graph technologies, big data pipelines, and cutting-edge AI/ML technologies, shaping the architecture of an essential platform for enterprise decision-making.Responsibilities:Design and implement distributed entity resolution algorithms to process billions of records.Build blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Create AI/ML based advanced matching with explainable AI (XAI).Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with sub-100ms latency requirements.Assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).Qualifications and Skills:Distributed computing experience: 3+ yearsEntity resolution and graph analytics: 2+ yearsStrong understanding of blocking algorithms, probabilistic record linkage, and similarity measuresLarge Apache Spark workloads design and optimisationGraph algorithms implementation in distributed computing frameworks such as Apache Spark, Dask or equivalent with optimised queries and storage formatsDesirable Qualifications:Master or PhD in Computer Science or related field with focus on graphs/entity resolutionArchitecture Design and implementation of large scaled Graph databases (Neo4j, Amazon Neptune, JanusGraph) or equivalentContribution Areas:Entity Resolution ServiceNetwork Generation ServiceAI/ML Model Development & Explainable AI (XAI)Cloud Infrastructure & Data Platform



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