101 to 116 of 116 Ontologies Jobs

Technology Platforms, the Knowledge Engineering & Platform Lead is a senior role responsible for developing and delivering the firm-wide strategy for legal knowledge platforms, ontology management and knowledge engineering. Working with the Global Chief Knowledge Officer and key Knowledge, Technology, Data and AI stakeholders, the role designs the structures, standards … Practice Group SMEs to design and deliver the next generation of legal knowledge solutions for A&O Shearman. Oversee the knowledge engineering and ontology management capability for legal knowledge, ensuring agreed taxonomies, ontology relationships, entity models, metadata standards and governance controls are embedded consistently across platforms. Lead the migration from ...

clients to understand their business challenges, assess their knowledge landscape, and design production-ready solutions leveraging knowledge graphs, contextual data platforms, graph databases, GraphRAG, ontologies, and semantic technologies.Key ResponsibilitiesEngage with customers to identify business challenges that can be solved through contextual AI and knowledge-driven architectures.Assess enterprise knowledge assets, structured … deploy production-ready enterprise knowledge systems and rapid Proofs of Value (PoVs).Architect enterprise knowledge solutions using knowledge graphs, graph databases, semantic layers, ontologies, metadata management, and contextual data platforms.Design GraphRAG, Hybrid RAG, Agentic RAG, and contextual retrieval architectures to improve AI reasoning, explainability, and accuracy.Develop scalable ontologies, taxonomies, semantic ...

integrate emerging technologies into the team’s roadmap.Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems.Domain & Research IntegrationCollaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems.Incorporate structured data — including datasets, chemical entities, genes, drugs, clinical … Computer Science, Data Science, Machine Learning, or a related fieldExperience working with large-scale datasets (scientific, biomedical, or enterprise data)Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef)Exposure to production ML systems and MLOps practicesFamiliarity with data visualization and analytical tooling (e.g., Tableau, Power ...

science, including literature searching, content analysis, and knowledge synthesisProven ability to translate scientific and business questions into effective search and analysis techniquesFamiliarity with metadata, ontologies, and FAIR data principles for structuring scientific contentWorking knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies … cross-functional teamsNice to Have Skills:Practical experience in evaluating, piloting, or advising on AI-driven content toolsKnowledge of data visualization, knowledge graphs, and ontology managementFamiliarity with Python, AI frameworks, and prompt engineering techniques for NLP applicationsExperience with scientific communication tools and knowledge mappingPreferred Education and Experience:Bachelor ...

year. In addition, ChEBI underpins many of the key global biological databases upon which researchers in the biosciences are increasingly reliant such as Gene Ontology (GO), Rhea, UniProtKB, IEDB, Reactome, MetaboLights, SwissLipids, and BioModels. The ChEBI database and ontology is a fundamental component of the global bioscience infrastructure, recognised … Chemical Biology Services team leader, the job responsibilities will include: Curation of entries into ChEBI, paying particular attention to chemical structures and the ChEBI ontology, to ensure the delivery of high quality data Monitoring ChEBIs monthly release process and liaising with technical/software colleagues if problems arise. Monitoring daily ...

engineering ecosystem is resilient, scalable, and logically consistent.Implementing the Digital Thread: Developing software that transforms fragmented data from disparate sources into a unified, ontology-driven Knowledge Graph.Enabling Composable Engineering: Building a digital environment where relationships between engineering artefacts are first-class citizens, allowing for flexible and concurrent views … moves through the thread, adding semantic value and context.Adapter Development & Data MappingDevelop tool adapters that map local data schemas to a global ontology, ensuring that tool-specific data is ingested into the graph without losing semantic meaning.Focus on "mapping to the model" rather than "mapping to the tool," preventing ...

engineering ecosystem is resilient, scalable, and logically consistent.Implementing the Digital Thread: Developing software that transforms fragmented data from disparate sources into a unified, ontology-driven Knowledge Graph.Enabling Composable Engineering: Building a digital environment where relationships between engineering artefacts are first-class citizens, allowing for flexible and concurrent views … moves through the thread, adding semantic value and context.Adapter Development & Data MappingDevelop tool adapters that map local data schemas to a global ontology, ensuring that tool-specific data is ingested into the graph without losing semantic meaning.Focus on "mapping to the model" rather than "mapping to the tool," preventing ...

contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search, Retrieval & RAG Systems Design, develop, and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. … conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience ...

contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI‐powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development … conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience ...

Infor MES platform and wider Manufacturing portfolio. This is a hands-on technical leadership role responsible for defining the architecture, standards, data models, ontology strategy, and platform integration patterns required to bring AI capabilities to MES and Manufacturing solutions. Working closely with Infor OS technologies, you will help translate platform … right candidate. Reporting directly to the VP of Software Development, you will play a key role in shaping how AI, agents, data, and ontology-driven business context become foundational capabilities across the next generation of Infor Manufacturing solutions.A Typical Day in the Life Includes:Defining the AI architecture, standards ...

Infor MES platform and wider Manufacturing portfolio. This is a hands-on technical leadership role responsible for defining the architecture, standards, data models, ontology strategy, and platform integration patterns required to bring AI capabilities to MES and Manufacturing solutions. Working closely with Infor OS technologies, you will help translate platform … right candidate. Reporting directly to the VP of Software Development, you will play a key role in shaping how AI, agents, data, and ontology-driven business context become foundational capabilities across the next generation of Infor Manufacturing solutions. A Typical Day in the Life Includes: Defining the AI architecture, standards ...

function. The Head of AI is responsible for building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible … frameworks for: Hallucination detection Precision and recall of extracted clinical concepts Regression testing across model updates Implement structured output approaches (e.g. schema-constrained generation, ontology-driven formats). Design iterative feedback loops, including human-in-the-loop review where appropriate. Ensure measurable improvements in grounding, explainability, and reliability over time. ...

frameworks and contribute recommendations for experimentation and adoption.Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.Search, Retrieval & RAG SystemsDesign, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.Contribute … assistants, agentic workflows, or conversational AI applicationsExperience working on search, ranking, recommendation, or retrieval systemsFamiliarity with scientific, biomedical, or scholarly datasetsExperience with knowledge graphs, ontologies, or semantic enrichment systemsExposure to production ML systems and MLOps practicesAcademic or industry research experience in NLP, information retrieval, search, or generative AIExperience working ...

offer appropriate recommendations.The successful candidate is a subject matter expert in Data Management, specializing in topics such as: Master Data Management (MDM), Data Agents, Ontologies and Context Layers; and understands their application across people, processes, and technologies. The candidate will focus on written and customer-facing deliverables to support Data … theory level with no hands-on knowledge.What you will need: Hands-on experience delivering/supporting AI initiatives through Data Management.Core understanding of Ontologies, Semantic Layers, Knowledge Graphs and Context Layers; their differences, use cases and applicability to an organization.Core understanding of Data Agents/Agentic Data Management ...

define, govern and industrialise enterprise semantic assets across data standards, controlled vocabularies, data contracts and knowledge graph implementations. The role requires deep expertise in ontology engineering, semantic technologies and knowledge representation, with the ability to engage senior stakeholders and drive consensus across business and technology teams. #J-18808-Ljbffr ...

Capgemini is seeking a Senior Semantic Governance Managing Consultant to define and govern enterprise ontologies, data standards, and semantic models. You will lead workshops with business SMEs, engage executives, and drive reuse across complex client environments. The role demands extensive ontology engineering expertise and hands-on knowledge of semantic technologies. ...