Semantic Ai Expert
il y a 5 jours
**Tasks**:
- Lead the exploration and implementation of generative AI and agent-based technologies (e.g. GPT, Claude, OpenAI) to enhance the automation, scalability, and contextual intelligence of semantic modelling processes and activities;
- Closely follow the evolving landscape of activities, ensuring that work on semantic interoperability benefits from and contributes to the broader institutional AI strategy;
- Maintain regular exchanges with relevant AI-focused teams to align efforts, identify synergies, and feed back lessons learned;
- Coordinate the integration of AI capabilities into the Semantic Registry of Data Models;
- Explore the use of LLMs for assisting with data model classification, semantic enrichment, and automated recommendation of reusable assets;
- Develop the use of generative AI to accelerate the modelling and alignment of interoperability artefacts in support of key policy initiatives, including the Single Digital Gateway Regulation (SDGR/OOTS), Interoperability Assessments, and European Data Spaces, ensuring all AI-driven outputs respect FAIR principles and EU semantic standards;
- Contribute to other project activities such as: overseeing and checking semantics activities entrusted by the Interoperability programme to other services in semantics such as the Publication Office, assisting and providing guidance to Data paces on adopting profiles and assist in creating additional sub-profiles where necessary, organisation of workshops and conferences, writing blog posts.
**Requirements**:
- Master’s degree in Computer Science, Computer Engineering, Information and Communication Technologies combined with relevant IT professional experience of minimum 17 years;
- Minimum 8 years of experience in Semantic methodologies, Semantic transformation, Metadata modelling, Linked data;
- Minimum 8 years of experience in OWL, RDF, SKOS, XML, shacl;
- Proven work experience with machine learning and AI models in particular new trends working on agents;
- Experience in semantic technologies (e.g. SPARQL, knowledge graphs) and Artificial Intelligence (e.g. Large Language Models);
- Experience with EU vocabularies such as Core Vocabularies, DCAT-AP, or INSPIRE an the FAIR data principles;
- Experience in public sector interoperability platforms;
- Knowledge of Single Digital Gateway Regulation (SDGR/OOTS), Interoperability Assessments, and European Data Spaces;
- Excellent command of the English language.
**Benefits**
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference **(18849/07/2025).**
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.
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