8 of 8 Remote/Hybrid Permanent Ontologies Jobs

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python ...

discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

technical and non-technical audiences. Comfortable working with ambiguity and shaping emerging requirements. Desirable Experience with federated data-sharing platforms or data ecosystems. Ontologies, semantic data models or knowledge graphs. Public sector, regulated industry, critical infrastructure or federated ecosystem solutions. Role and Responsibilities: Design security Non-Functional Requirements. Lead ...

fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly … technical guidance from two of the most recognized knowledge graph practitioners in financial services. What You'll Deliver (POC Scope) An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund ShareClass Listing Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more ...

fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies — directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly … technical guidance from two of the most recognized knowledge graph practitioners in financial services.What You'll Deliver (POC Scope)An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed ...

efforts with the objectives of the Smart Building Integration service. This might involve ensuring that projects contribute to the development and implementation of ontologies, technical submittal reviews, data migration processes, and program development. Compliance with Security Standards: The Project Manager is responsible for ensuring that data migration processes are conducted … manage project budgets effectively and efficiently allocate resources. Technical Proficiency: Understanding of Smart Building Concepts: Familiarity with Master Systems Integration concepts and practices, including ontologies, data migration, and technical submittal review. Technical Background: A background in a technical field related to systems integration, information technology, or a relevant domain. Security ...

Experience designing and implementing GraphRAG, LLMs and GenAI solutions. Strong understanding of RDF, OWL, Linked Data and Semantic Web standards. Experience optimising graph databases, ontologies and enterprise data models. Pharmaceutical or Life Sciences experience, including biomedical data and ontologies such as SNOMED, MeSH and UMLS. Experience with CMC data, knowledge ...