Senior Data Analyst

7 days ago

nashik, India beBeeData Full time

Embark on a transformative journey as a Senior AI/ML Cloud Engineer – Graph Analytics Platform.Job Description:As a Senior AI/ML Cloud Engineer, you will have the opportunity to tackle intricate technical challenges, leveraging real-time very large data processing, advanced analytics, and optimisation on very large network graphs and interactive graph visualizations. Your expertise in designing and implementing distributed graph computing solutions will be instrumental in processing billions of entities and relationships for a next-generation data intelligence platform using a microservices architecture.Key Responsibilities:Entity Resolution Service:Design and implement distributed entity resolution algorithms to process billions of records, incorporating blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale. Create AI/ML based advanced matching with explainable AI (XAI), and implement incremental resolution supporting real-time and batch modes. Design APIs for entity lookup with sub-100ms latency requirements, and assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).Network Generation Service:Architect distributed graph generation pipelines using libraries such as GraphX/GraphFrames, implementing graph analytics algorithms like PageRank, community detection, and centrality measures. Design storage strategies for multi-billion edge graphs in the cloud, build temporal graph support for time-evolving networks, create high-performance graph serving APIs with complex query capabilities, and optimize graph partitioning to minimize shuffle and maximize locality.Ai/ml Model Development & Explainable Ai (xai):Build Graph Neural Networks (gnns) and models using neighbour sampling techniques such as GraphSAGE to analyse corporate and transaction networks for fraud and risk patterns. Implement ai based entity resolution algorithms using techniques such as fuzzy matching, semantic matching (sentence-bert), and clustering across heterogeneous data sources. Create risk scoring models by combining rule-based, supervised and unsupervised methods, optimized for real-time and large data processing. Champion model transparency and fairness by integrating state-of-art models evaluation techniques such as shap, lime, bias detection and monitoring model drifts.Requirements:Strong experience in designing and implementing distributed graph computing solutions.Proficiency in AI/ML technologies, including deep learning frameworks and libraries.Expertise in cloud-based architectures and infrastructure, particularly AWS or Azure.Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced environment.Benefits:Competitive salary and benefits package.Opportunities for professional growth and development.Collaborative and dynamic work environment.

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    nashik, India beBeeSeniorFinancialDataAnalyst Full time

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    nashik, India beBeeCredit Full time

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    nashik, India beBeeRisk Full time

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    Nashik, India ContraVault AI Full time

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