Senior AI Research Engineer - Knowledge Graphs

Empresa: Biorce
Provincia: hibrido
Población: 
Descripción: About the company Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes. 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. With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity. 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). This role is critical for building a structured knowledge foundation that enhances our AI solutions, adding context, reasoning, and explainability to our Generative AI systems. Key Responsibilities: - Design and Ontology Engineering: Design and evolve the formal ontology and semantic models (e.g., RDF, OWL) for our knowledge graph, accurately capturing complex domain knowledge and relationships. - Graph Development and Implementation: Design, build, and optimize the knowledge graph architecture using graph database technologies (e.g., Neo4j, JanusGraph, Amazon Neptune). - Data Integration and 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. - Querying and Analytics: Write complex, high-performance graph queries (e.g., Cypher, SPARQL) and develop advanced graph analytics and algorithms (e.g., shortest path, community detection) to extract insights. - 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. Essential Requirements: - Minimum of 3+ years of hands-on experience in designing and implementing large-scale Knowledge Graphs in a production environment. - Deep expertise in ontology engineering, semantic modeling, and experience with standards like RDF, RDFS, OWL, and SPARQL. - Proficiency with at least one major graph database (e.g., Neo4j, TigerGraph, AWS Neptune). - Practical experience integrating LLMs with Knowledge Graphs (e.g., RAG, KG-powered AI agents). - Strong programming skills in languages essential for data engineering, primarily Python. - Experience applying NLP techniques for text processing and structuring (NER, relation extraction). - Excellen...
Tecnologías: Neo4j, JanusGraph, Amazon Neptune, LLM,
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 3 años
Funciones: Inteligencia Artificial/Machine Learning
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