15 of 15 Permanent Ontologies Jobs

quality governance practices Experience working with stakeholders to capture requirements, user stories and covert them into development deliverables Advantages Familiarity with semantic graph or Ontology-Driven triple stores Previous experience with LLM driven solutions and NLP practices Experience in Banking or Financial Services SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion ...

data warehousing technology, high-performance computing platforms, database and database query optimisation, and data mining Experience in some of the following domains: bioinformatics, genomics, ontologies, functional annotation, and high throughput sequencing analysis, statistics Experience of some of the following technologies: Python, Rust, Perl, GraphQL, JavaScript, TypeScript, Apache, MySQL, PostgreSQL, DuckDB ...

with data modelling tools like SparX, Erwin or similar -Skills in SQL and Python is nice to have but not essential -Experience with curating ontologies and experience with OWL/TTL/RDF is preferred APPLY BELOW ...

Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling … Deployment or promotion through environments. Operational support and troubleshooting. Experience dealing with: Performance issues or optimisation tasks. Permissions and basic security models. Schema/ontology changes and their impact on downstream use cases. Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (eg workshops, demos ...

SuccessFactors to design innovative, future-ready solutions — from traditional talent modules (Performance & Goals, Career & Succession, LMS) to in-demand capabilities such as Skills Ontologies, Growth Portfolios, and Talent Intelligence use cases. In addition to deep product knowledge, this role offers opportunities to lead functional workstreams and small delivery teams ...

trusted advisor who helps customers design and evolve high value Semaphore solutions that address complex information, metadata, and knowledge model (i.e. thesauri, taxonomy and ontology) challenges. The role emphasizes deep discovery, collaborative problem solving, and long-term partnership rather than transactional engagements, ensuring customers realize sustained value from the Semaphore … statements and opportunity areas for Semaphore. Facilitate workshops and advisory sessions that guide customers through options, tradeoffs, and roadmaps for semantic modeling, taxonomy/ontology design, metadata standards and governance, and content classification. Act as a trusted advisor to business and technical stakeholders, using active listening, open-ended questioning ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

Role : Data Scientist : Graph database and ontology specialist We are seeking a Data Scientist with deep expertise in Knowledge Graphs and Ontologies and the ability to work across domains. You will design and deploy production-grade graph solutions that model relationships not only between UAVs, missions, and sensors, but across … delivery. Your work will provide a transversal view of how data and processes interconnect, powering insights and decision-making across the organization. Key Responsibilities Ontology Design & Management: Design and maintain scalable ontologies to unify mission data, sensor outputs, flight logs, and operational parameters. Graph Engineering (Neo4j): Implement, optimize, and operate ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You’ll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you’ll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You'll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you'll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design ...

architectures, including planning, delegation, tool use, safety constraints, and monitoring. Develop retrieval and vector-based systems, embeddings, semantic workflows, and structured reasoning pipelines. Apply ontology and knowledge modeling literacy to support precise reasoning and data alignment. Integrate AI systems with APIs, tools, and enterprise connectors. Develop scalable prompt engineering solutions … agent system design and orchestration (planning, delegation, tool integration). Evaluation frameworks, safety checks, and monitoring pipelines. AI Ops/observability experience. Familiarity with ontologies or semantic reasoning (literacy required). Critical Distinction: Candidates must be able to explain architectural trade-offs, discuss failure modes, demonstrate evaluation and reliability practices ...

agents, webhooks) to support different partnership and customer models. Build Knowledge Graph Systems Transform flat parts catalogs into semantic networks using AWS Neptune. Design ontologies that capture ACES (fitment) and PIES (attributes) standards for heavy equipment. Build ingestion pipelines that parse customer data and extract compatibility relationships. Implement graph traversal … graph data to prevent hallucination on critical fitment recommendations. What We're Looking For Graph & Semantic Systems Experience with graph databases (Neptune, Neo4j) and ontology design Ability to model complex domain relationships as graph structures, not tables Understanding of semantic query languages (Gremlin, SPARQL) and entity resolution Backend Engineering & Data ...

Role : Data Scientist : Graph database and ontology specialist We are seeking a Data Scientist with deep expertise in Knowledge Graphs and Ontologies and the ability to work across domains. You will design and deploy production-grade graph solutions that model relationships not only between UAVs, missions, and sensors, but across ...