Advanced Cloud Graph Computing Specialist

1 day ago

Jodhpur, India beBeeCloudEngineer Full time

Senior AI / ML Cloud EngineerA transformative opportunity to architect and implement distributed graph computing solutions processing large-scale data for a next-generation intelligence platform using a microservices architecture.Key Responsibilities:Design and develop entity resolution algorithms for real-time and batch data processing.Implement blocking strategies optimized for high-performance computing.Create advanced matching with explainable AI (XAI) techniques.Develop incremental resolution supporting real-time and batch modes.Design APIs for efficient entity lookup with stringent latency requirements.Collaborate with the team in building dynamic entity resolution with embedded graph knowledge.Architect distributed graph generation pipelines using scalable libraries.Implement graph analytics algorithms such as PageRank, community detection, and centrality measures.Develop storage strategies for massive edge graphs in cloud environments.Build temporal graph support for evolving networks.Create high-performance graph serving APIs with complex query capabilities.Optimize graph partitioning for improved locality and reduced shuffling.Requirements:3+ years of experience in distributed systems and big data technologies.2+ years' experience in entity resolution and graph analytics at scale.Strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures.Ability to design and optimize large-scale workloads.Proficiency in implementing graph algorithms in distributed frameworks.This is a hands-on leadership role focused on developing and deploying large-scale graph computing solutions for a cutting-edge data intelligence platform.

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