About the company Si desea conocer los requisitos para este puesto, siga leyendo para obtener toda la información relevante. Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs. About the role We are seeking a Senior Research/AI Engineer with specific expertise in Knowledge Graphs (KGs) and their synergy with Large Language Models (LLMs) . Design and Ontology Engineering: Graph Development & Implementation: Design, build, and optimize the knowledge graph architecture using graph database technologies (e.g., Neo4j, JanusGraph, Amazon Neptune). Data Integration & ETL: Develop scalable, robust data pipelines and ETL processes to ingest, transform, and map diverse data sources into the graph structure while ensuring data quality and integrity. Write complex, high-performance graph queries (e.g., Collaboration: Work closely with Data Scientists, ML Engineers, Product Managers,



and domain experts to translate business requirements into technical knowledge graph solutions that power search, recommendations, and AI/ML applications. Performance Tuning: Monitor, analyze, and optimize the performance of the graph database and associated pipelines for scalability and real-time query speed. Proficiency with at least one major graph database (e.g., Neo4j, TigerGraph, AWS Neptune). Strong programming skills in languages essential for data engineering, primarily Python. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, agile environment. D. in Computer Science, Artificial Intelligence, or a related technical field. Contributions to research (publications in top-tier conferences) or open-source projects. Experience with Google Cloud Platform and Vertex AI Knowledge of Natural Language Processing (NLP) techniques for information and entity extraction to populate the knowledge graph. Familiarity with G

📌 Senior AI Research Engineer (España)
🏢 Biorce
📍 España