Advanced Graph Computing Architect

3 days ago


nadiad, India beBeeGraph Full time

Technical Architect for Advanced Graph ComputingA highly technical and strategic leadership position focused on designing, implementing, and optimizing large-scale distributed graph computing solutions to drive business value from complex data sets.The successful candidate will lead the development of entity resolution and network generation services using microservices architecture. The engineer is expected to be performance-driven, think in distributed systems, optimize for latency and throughput, and act as a self-directed technical leader who makes architectural decisions and implements them.Design and implement efficient distributed algorithms for processing large datasets.Develop blocking strategies (e.g., LSH, canopy clustering) optimized for scale and performance.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.This role offers the opportunity to work on cutting-edge graph technologies, big data pipelines, and AI/ML innovations.Key Responsibilities:Entity Resolution: Design and implement efficient algorithms for resolving entities at scale.Network Generation: Develop strategies for generating networks with high accuracy and speed.AI/ML Integration: Integrate AI/ML models into entity resolution and network generation services.API Design: Design and implement APIs for entity lookup with sub-100ms latency requirements.Requirements:Deep understanding of distributed systems and graph computing.Experience with AI/ML models and their integration with graph computing.Strong software development skills, particularly in Java or Python.Excellent communication and leadership skills.



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