Senior Knowledge Graph Engineer & Semantic Architect, Central Reliability Maintenance Engineering At Amazon we believe that Every Day is still Day One! We're working to be the most customer-centric company on earth. Are you passionate about pushing the boundaries of semantic technologies and knowledge graphs? Do you … one of the world's most innovative companies? Amazon's Central Reliability Maintenance Engineering team (C-RME) is seeking a Senior Knowledge Graph Engineer & Semantic Architect to lead our next-generation information architecture (IA) initiatives. Key job responsibilities In this role, you will contribute to the success of Central … term multi-functional programs involving multiple AI technologies. As a Senior Knowledge Graph Engineer, you will: - Lead the evolution of our knowledge graph and semantic data engineering capabilities, driving innovation in our graph-based architectures for initiatives and beyond; - Collaborate with business stakeholders to translate business requirements into graph More ❯
of data management best practices that enable the delivery of "ready-to-use" data. What's the role? As a Team Leader of the Semantic Modeling team, you will be pivotal in the development of our metadata products and processes at Bloomberg. Specifically, you will be guiding a team … of ontologists in designing, implementing, and maintaining ontologies in order to drive data interoperability and semantic enrichment. The day-to-day will vary, some days you may be advising engineers on the development of metadata infrastructure and platforms. On other days, you may be meeting with Data teams to … To: Champion the development of ontological practices at Bloomberg. Lead and develop a high-performing team of ontologists and taxonomists to contribute to centralized semantic models and taxonomies. Collaborate with stakeholders to understand business requirements and translate them into ontological models and solutions. Develop strategies for the consistent application More ❯
in large-scale academic projects and/or industry environment Data management in large scale and heterogeneous data spaces Clinical Informatics Biomedical ontologies/SemanticWeb technologies Information retrieval, data analytics and/or text mining on Electronic Health Records and biomedical literature Knowledge of machine learning/ More ❯
datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling requirements to stakeholders, and drive alignment across metadata … all candidates who are able to demonstrate the skills necessary for the role. 4+ years of experience working with data modelling, metadata design, or semantic data structures Proven ability to work with messy, heterogeneous data sources and convert them into harmonized, queryable formats Strong communication skills, with the ability … financial datasets (e.g. corporate bonds) - or a willingness to learn the domain Experience with data cataloging, metadata governance, or data discovery platforms Familiarity with semanticweb or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required More ❯
considerable in-depth knowledge in one or more of the following technical disciplines (data modelling, API design, scalable data platform design, experience with using semantic modelling to drive data insights and AI/ML) Ability to tackle design and functionality problems independently with little to no oversight Ability to … state architecture Adds to team culture of diversity, equity, inclusion, and respect Preferred qualifications, capabilities, and skills Practical cloud native experience Practical application of semanticweb technologies (rdf, ttl, shacl) About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the More ❯
simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semanticweb and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is More ❯
simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semanticweb and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is More ❯
