Senior AI Expert

4 days ago

hyderabad, India beBeeDataScientist Full time

Job Description:As a Senior AI Expert, you will play a key role in driving the development of cutting-edge AI solutions that transform businesses. This is an exceptional opportunity to leverage your expertise in AI/ML and graph neural networks to create innovative applications that drive business growth.Your primary focus will be on designing and implementing distributed entity resolution algorithms to process massive datasets with high accuracy and speed. You will also work on building advanced matching techniques using explainable AI (XAI) to ensure transparency and fairness in decision-making processes.In addition to these core responsibilities, you will contribute to the design and implementation of network generation pipelines using GraphX/GraphFrames libraries. Your goal will be to architect scalable and efficient graph analytics algorithms that enable real-time insights into complex networks.You will also have the opportunity to build Graph Neural Networks (GNNs) and models using neighbor sampling techniques such as GraphSAGE to analyze corporate and transaction networks for fraud and risk patterns. Furthermore, you will implement AI-based entity resolution algorithms using fuzzy matching, semantic matching (Sentence-Bert), and clustering across heterogeneous data sources.Your work will involve championing model transparency and fairness by integrating state-of-the-art model evaluation techniques such as SHAP, LIME, bias detection, and monitoring model drifts.This role requires a strong background in AI/ML, graph theory, and software engineering. You should have experience with large-scale data processing, distributed systems, and cloud infrastructure. A passion for innovation, teamwork, and continuous learning is essential for success in this position.Required Skills & Qualifications:Distributed entity resolution algorithmsExplainable AI (XAI)Graph neural networks (GNNs)Neighbor sampling techniques (e.g., GraphSAGE)Fuzzy matchingSemantic matching (e.g., Sentence-Bert)Clustering across heterogeneous data sourcesModel evaluation techniques (e.g., SHAP, LIME)Bias detection and monitoring model driftsLarge-scale data processingDistributed systemsCloud infrastructureBenefits:This role offers a competitive salary package, comprehensive benefits, and opportunities for professional growth and development. You will work in a dynamic and collaborative environment with a team of experts who are passionate about AI and graph technology.Others:We are committed to creating a diverse and inclusive workplace culture that values creativity, innovation, and collaboration. If you are a motivated and talented individual who is passionate about AI and graph technology, we encourage you to apply for this exciting opportunity.

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