Artificial Intelligence Engineer

Role: Semantic AI Expert

Location: Remote

Your Tasks:

• Support activities related to integrating AI into Semantic Interoperability through various initiatives , focusing on exploration and proposing production solutions, particularly regarding agentic AI;
• Support the SEMIC support to EU policies, and provide technical support for Interoperability Assessment data modelling activities, SDGR/OOTS, and interoperability in Data Spaces;
• Provide support on the SEMIC toolchain, with benchmarking, and identifying open-source solutions to support data modelling activities;
• Support the formalisation, integration, and Member States adoption of Linked Data Event Streams (LDES) as a SEMIC specification, ensuring alignment with existing standards and EU data strategies;
• Assist in the continuous improvement and implementation support for DCAT-AP, including providing guidance to Data paces on adopting the profile and assist in creating additional sub-profiles where necessary;
• Be actively involved in the creation of blog post publications on modelling approaches and practices;
• Involvement in organisation and implementation of SEMIC webinars and workshops.

Requirements

• Master’s degree in computer science, Computer Engineering, Information and Communication Technologies, combined with minimum 17 years of relevant working experience in IT;
• Minimum 8 years experience in Semantic methodologies, Semantic transformation, Metadata modelling, Linked data;
• Minimum 8 years experience in OWL, RDF, SKOS, XML, shacl;
• Proven work experience with machine learning and AI models in particular new trends working on agents;
• Excellent command of the English language.