Knowledge Base Scientist Senior - CDAIO
hace 4 días
Boadilla del Monte
Experteer Overview In this Senior AI Scientist role, you lead the local implementation of Santander’s AI Knowledge Base, focusing on knowledge representation, graph systems, and semantic data. You translate global architectural standards into scalable, reliable local solutions that support conversational systems and autonomous agents. You collaborate with data, engineering, and product teams to shape schemas, metadata, and retrieval pipelines while aligning with local constraints. This position sits within the DAISci-driven AI transformation, offering impact at global scale and opportunities to advance frontier AI within financial systems. Compensaciones / Beneficios • Design, develop, and maintain local Knowledge Base instances with connected structured and unstructured data • Shape graph schemas, entity resolution, metadata structures, and retrieval pipelines • Ensure semantic description and accessibility of data for AI agents and retrieval systems • Collaborate with global Knowledge Base leadership to propagate reusable components and patterns • Translate architectural guidelines into practical local solutions aligned with global platforms • Contribute to evaluation, monitoring, and continuous improvement of Knowledge Base components • Work with cross-functional teams across markets to address regulatory, linguistic, and business constraints Responsabilidades • 5–10 years of experience in AI, data science, or ML systems in production environments • Experience designing and operating scalable, reliable data pipelines or AI systems • Ability to collaborate across engineering, product, and business teams to deploy AI-enabled systems • Strong individual contributor with ownership in a distributed, multi-country AI organization • Proficiency in knowledge representation, graph modeling, semantic data structures, or information retrieval • Practical background in ML and modern AI architectures related to structured knowledge and retrieval • Strong Python programming skills and familiarity with data processing and graph technologies Requisitos principales • hybrid work model • learning platform access • competitive salary with bonuses • health and wellness programs • childcare support • employee discounts