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Talent Connect logo
Talent Connect

100% remoto desde cualquier país de Latam. Trabajo con equipos internacionales (principalmente USA). Horario full-time.

Knowledge Base / Knowledge Graph Engineer

Location

Worldwide

Posted

86 days ago

Salary

0

Seniority

Mid Level

Job Description

Knowledge Base / Knowledge Graph Engineer

Talent Connect

Role Description Buscamos perfiles técnicos para incorporarse a un proyecto global de un importante banco internacional enfocado en la construcción de una Knowledge Base corporativa, con evolución hacia Knowledge Graph, capacidades avanzadas de search semántico y potencial integración con RAG y GenAI. El objetivo del proyecto es construir una plataforma que permita organizar, estructurar, indexar y explotar conocimiento corporativo, facilitando su acceso mediante APIs, motores de búsqueda y sistemas inteligentes. Buscamos perfiles con experiencia en: - Arquitectura de conocimiento - Procesamiento de información - Búsqueda semántica - Integración de datos No es necesario cumplir con todos los requisitos; candidatos con experiencia parcial en alguno de los dominios también pueden encajar. Responsibilities - Diseñar y construir Knowledge Bases corporativas, incluyendo modelado de contenido, gobierno básico, control de calidad y versionado. - Definir y gestionar Information Architecture, incluyendo: - taxonomías - metadatos - categorización - reglas de publicación - Participar en la construcción de Knowledge Graphs, incluyendo: - modelado de entidades y relaciones - ontologías y vocabularios controlados - mapping entre fuentes de información - Definir arquitectura de la solución: - ingesta de datos - almacenamiento - indexación - búsqueda - consumo vía APIs - Implementar buenas prácticas de data ingestion e integración, incluyendo: - parsing - normalización - deduplicación - Colaborar en la evolución hacia búsqueda semántica, RAG y sistemas basados en LLMs. Qualifications - Experiencia en al menos algunos de los siguientes dominios: - Arquitectura de conocimiento - Diseño de Knowledge Base enterprise - Modelado de contenido - Gobierno de información - Arquitectura de información - Arquitectura de datos / integración - Ingesta y procesamiento de datos - Integración de múltiples repositorios de conocimiento - Diseño de pipelines de datos Technologies - Python (pipelines, ETL, procesamiento de texto, APIs) - Cloud (idealmente AWS) - Integración con repositorios como: - Confluence - SharePoint - ServiceNow - Zendesk - APIs REST - Búsqueda y conceptos de indexación y relevancia - Experiencia con Elastic / OpenSearch (deseable) Nice to Have - Knowledge Graph - Implementación end-to-end de Knowledge Graph - Ontologías (RDF, OWL) - Modelado semántico - Razonamiento básico - Search y GenAI - Semantic search - RAG architectures - chunking - embeddings - retrieval híbrido - evaluación de relevancia y grounding Additional Technologies - Graph databases: - Neo4j - Amazon Neptune - Stardog - Vector databases: - Pinecone - Weaviate - FAISS - ChromaDB - Frameworks LLM: - LangChain - LlamaIndex - Querying semántico: - SPARQL - GraphQL What We Are Looking For - Perfil analítico y estructurado. - Capacidad de trabajar con equipos de arquitectura, data, AI y producto. - Interés en plataformas de conocimiento y sistemas inteligentes. - Experiencia trabajando en entornos técnicos complejos y escalables.

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