About the company
Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience has made us the leading and reliable systems integrator of today and has contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people, supports the free sharing of ideas and the flow of information via open communication, while appreciating and effectively utilizing the talents, skills and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics.
Job Summary
What will you be doing in this role?
šSupport activities related to integrating AI into Semantic Interoperability through various initiatives, focusing on exploration and proposing production solutions regarding agentic AI. šCoordinate the implementation of the Semantic Registry of Data Models. šSupport and provide technical support for Interoperability Assessment data modelling activities, SDGR/OOTS, and interoperability in Data Spaces. šProvide support on the toolchain, with benchmarking, and identifying open-source solutions to support data modelling activities. šOversee and check semantics activities entrusted by the Interoperability programme in DEP to other services in semantics. šSupport the formalization, integration of Linked Data Event Streams (LDES) ensuring alignment with existing standards and data strategies. šAssist in the continuous improvement and implementation including providing guidance to Data paces on adopting the profile and assist in creating additional sub-profiles where necessary. šBe actively involved in the creation of blog post publications on modelling approaches and practices. šInvolvement in organization and implementation of webinars and workshop
Requirements
What will you be bringing to the team? šHold a Masterās degree in Computer Science, Computer Engineering, Information and Communication Technologies. šMinimum 8 years experience in Semantic methodologies, Semantic transformation, Metadata modelling, Linked data. šMinimum 8 years experience with OWL, RDF, SKOS, XML, shacl. šDemonstrated experience with machine learning and AI models in particular new trends working on agents.
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