1 to 25 of 34 Ontologies Jobs

project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such as Erwin, Sparx, Visual Paradigm Experience working with ontologies and knowledge of RDF/OWL/TTL Exposure to Python or SQL scripting in support of data model design Knowledge of data governance and enterprise ...

project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such as Erwin, Sparx, Visual Paradigm Experience working with ontologies and knowledge of RDF/OWL/TTL Exposure to Python or SQL scripting in support of data model design Knowledge of data governance and enterprise ...

autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety). Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM-Powered Analytics - Prototype LLM-enabled ...

Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases ...

Engineering, or a related technical field. Big Data Mastery: Deep production experience with Apache Spark optimization and the Palantir Foundry stack (Phonograph, Code Repositories, Ontology). Polyglot Programming: Advanced proficiency in Java and Python ; expertise in systems languages like C/C++ or Rust is a significant advantage. Modern Data ...

agentic systems, LLMs, and AI-driven architectures Experience with AI search (vector databases, hybrid search, GraphRAG) is highly desirable Familiarity with knowledge graphs, ontologies, or complex data modelling Strategic & Commercial Thinking Experience making build vs buy and technology investment decisions Ability to evaluate and integrate third-party tools, platforms ...

physical devices MAVLINK or other C2 protocols ROS DevSecOps and CI/CD tool chains Integration of complex software systems Knowledge representation/ontologies Active Security Clearance Pay Information Full-Time Salary Range: $233,000-$320,000 The salary range listed is based on external market data. Offers are based ...

Build capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business ...

quality measures across complex, multimodal data labeling pipelines Drive data-centric ML model improvements to achieve critical Zoox milestones Support an org-wide data ontology and class structure for perception models Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data Build metrics ...

define data transformations for AI/ML use cases. Workflow Documentation: Develop workflow diagrams, process mappings AS-IS/TO-BE workflows, and ontology definitions. AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings. Customer Education and Demonstration: Conduct technical demonstrations ...

protocols Unreal Engine modeling ROS TAK DevSecOps and CI/CD tool chains Integration of complex software systems Constraint satisfaction algorithms Knowledge representation/ontologies Python Active Security Clearance Pay Information Full-Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers ...

templates to standardize delivery. Partner tightly with K:Agent Product and Engineering to surface platform gaps and influence the evolution of the Data Model (Ontology layer) and Custom Tools. Contribute to internal best practices, templates, and delivery processes that improve build quality and consistency across customers. Maintain strong operational hygiene ...

projects and enhancements. Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework. Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata. Championing good data architecture practices across the organisation. Requirements: Microsoft background (SSIS, Dataverse, sharepoint) Microsoft Azure and/or Fabric Understanding ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

have the following characteristics, it would be a plus: Specific experience with technologies for curating, storing, and querying Knowledge Graphs. Experience with open-source ontology tools, data formats and languages (e.g. protégé, SPARQL, OWL, SKOS, SHACL, RML). Demonstrated experience establishing and managing external partnerships in an industrial setting. Track ...

data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine … working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability ...

team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President – Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing … ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related ...

retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology mapping to treat scientific evidence as a first‐class object. Lead the technical strategy and evidence extraction pipelines, ensuring high accuracy against gold‐standard published ...

most advanced data operating systems in the world. Key Responsibilities Lead the end-to-end architecture of Palantir, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable … transform patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundrys ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

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 … focus on backend development in Python and with event-driven architectures. Hands-on experience with Palantir Foundry, including working with Foundry APIs, data pipelines, ontologies, or Foundry-based application development. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance ...

detection, and ethical evaluation into all assessment pipelines, ensuring transparency and trust in Elsevier's AI systems. Domain & Research Integration Collaborate 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 … measurable improvements in retrieval or generation quality. Preferred Skills Experience deploying retrieval-enhanced LLMs and hybrid retrieval pipelines in production environments. Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef). Strong communication and stakeholder management skills, with the ability to bridge data science, engineering, and product ...

detection, and ethical evaluation into all assessment pipelines, ensuring transparency and trust in Elsevier's AI systems. Domain & Research Integration Collaborate 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 … improvements in retrieval or generation quality. Preferred S kills Experience deploying retrieval-enhanced LLMs and hybrid retrieval pipelines in production environments. Familiarity with scientific ontologies and metadata standards (e.g., MeSH , UMLS, ORCID, CrossRef ). Strong communication and stakeholder management skills, with the ability to bridge data science, engineering, and product ...

modern data architecture is a plus. Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred. Exceptional communication and storytelling ability to engage technical and executive stakeholders. Prior experience in customer-facing, consulting, or commercial-scientific interface roles. What … Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI. Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions. AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance. Customer Enablement: Deliver onsite demonstrations, conduct working sessions ...

including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. … Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills ...

including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. … Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock). Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). Exceptional written and verbal communication skills ...