1 to 25 of 35 Ontologies Jobs

customer teams to understand mission needs. The team is looking for someone that is knowledgeable with data enrichment/conversion methods, familiar with data ontologies/schemas, strong knowledge of structured data types (XML, CSV, JSON), and has database experience. Java, Python, analytic development experience, and working knowledge of NiFi ...

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 ...

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: $157,000 - $224,000 The salary range listed is based on external market data. Offers ...

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

recent years of development experience. - Experience with Java/Python and analytic development experience. - Knowledgeable with data enrichment/conversion methods. - Familiar with Data Ontologies/Schemas, strong knowledge of structured data types (XML, CSV, JSON), and database experience. - Working knowledge of NiFi is highly desired. - Analytic development experience using ...

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 ...

build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity ...

minimal oversight. Preferred Qualifications Experience with NLP. Experience with GPU computing (CUDA/NVIDIA). Familiarity with the OMOP Common Data Model or biomedical ontologies and vocabularies. Experience working with healthcare records, patient data, or clinical datasets. Experience with PostgreSQL extensions such as pgvector for vector similarity search. Background ...

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 ...

Desired Skills and Experience: Experience with developing & integrating AI-based algorithms Experience with developing and integrating software-based knowledge representation & reasoning Experience working with ontologies, in concept and in implementation Experience working with Machine Learning/Deep Learning technologies Experience working with Data Science/Visualization technologies Physical Requirements ...

analytics orchestrated through rules engines Experienced with linguistics (grammar, morpholoy, concepts) Experience developing and deploying analytics that discover and exploit social networks Experience documenting ontologies, data models, schema, formats, data element Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your ...

protocol configuration and management Demonstrated experience developing Restful services Demonstrated experience developing and deploying analytics that discover and exploit social networks Demonstrated experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications Demonstrated experience developing and deploying analytics within a heterogeneous schema ...

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 ...

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 ...

Ontology. Design and implement data pipelines using Pipeline Builder and Code Repositories to build a robust, governed data foundation. Model in Ontology using objects, links, Action Types, and Functions. Build decision-centric operational applications using Workshop, OSDK, and Quiver, focused on business value and KPIs. Develop and deploy safe … with batch, real time use case realization in foundry using Pipeline builder. Must have implementation experience with objects, links, actions, and functions in the Ontology with the ability to structure and relate data using the Object Data Layer. Ability to design dynamic and interactive workflows, leveraging Workshops events system ...

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 ...

knowledge graphs and semantic data models to enable requirements traceability, system understanding, and intelligent querying across complex weapon system documentation, leveraging graph databases and ontologies to create a queryable digital thread. Digital Engineering: Lead digital engineering transformation initiatives to advance the enterprise toward digital thread, digital twin, and model-based … integration experience including connecting disparate data sources, building data integration frameworks for digital thread/digital twin applications, and knowledge of semantic data modeling, ontologies, or graph databases. Experience leading technical teams, mentoring developers, and establishing best practices for software development, including agile methodologies, CI/CD, and DevOps/ ...

building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline … Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data ...

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 ...

observability tooling including monitoring, logging, and alerting aligned to Foundry development patterns Implement governed metric definitions and reusable business logic anchored to the Foundry Ontology Participate in agile sprint cycles, including planning, standups, sprint reviews, and retrospectives Demonstrate working capabilities to government stakeholders Align integration patterns, data access controls … incremental improvements Mentor mid-level engineers through code reviews and technical guidance Preferred Qualifications Deep expertise with Palantir Foundry, including pipelines, Workshop/Slate, Ontology configuration, and AIP 8+ years of software engineering or systems integration experience Experience delivering CI/CD pipelines and analytics platforms in classified ...

parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems. Integrate structured knowledge - ontologies, controlled vocabularies, and knowledge graphs - with unstructured text to produce evidence-grounded, provenance-aware AI outputs. Develop and operate shared platform services that accelerate delivery … completion with minimal oversight. Preferred Qualifications Experience with document parsing, OCR, and layout-aware extraction for scientific or technical documents. Familiarity with knowledge graphs, ontologies, and controlled vocabularies, including RDF, SPARQL, or graph query languages. Experience with agent-tool integration frameworks, including the Model Context Protocol (MCP). Experience with ...

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 ...

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 ...