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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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background in Semantic Web technologies (RDF, OWL, SPARQL, SHACL) and ontology engineering methodologies and tools (e.g., Protégé). - Experience with Knowledge Graph architectures, graph databases
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
., Revenko, A., Teije, A. T., & Harmelen, F. V. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. https://doi.org/10.1145/3586163 [2] Benoît Combemale, Pascale Vicat-Blanc
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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natural language processing (NLP), knowledge graphs, and semantic search technologies. 2. Design, implement, and optimize secure, scalable, and high-performance AI solutions across multi-cloud
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. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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pipelines for processing large-scale structured and unstructured datasets using machine learning, natural language processing, semantic search, and knowledge graph technologies. 2. Design, implement, optimize
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, and other enterprise analytics platforms. The incumbent develops trusted data products, enterprise semantic models, dashboards, AI-enabled analytics solutions, and self-service reporting capabilities
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, including WCAG 2.x, accessible HTML, keyboard navigation, semantic markup, color contrast, and accessible forms. Experience working with RESTful APIs, including understanding API structure, endpoints, HTTP