Knowledge Engineer | Knowledge Engineer (m/w/d)
PANTOPIX GmbH & Co. KG
Job Summary
This role involves diving deep into client knowledge domains to model complex relationships and develop intelligent systems that make knowledge reliable and accessible. Key responsibilities include designing, developing, and maintaining knowledge graphs, semantic data models, and vector/relational databases. The Knowledge Engineer will collaborate closely with subject matter experts to create precise ontologies, taxonomies, and controlled vocabularies, while also developing efficient SPARQL queries and continuously optimizing data models. A significant focus is placed on integrating modern AI technologies, such as LLMs, Chatbots, Agents, and RAG/GraphRAG systems, and developing robust Data Engineering pipelines within enterprise and cloud infrastructures. Candidates need a strong background in Knowledge Engineering, semantic technologies, and proficiency in Python, making this an excellent opportunity to transform complex knowledge into tangible, cutting-edge solutions for international clients.
Required Skills
Education
Completed degree in Computer Science, Information Science, Knowledge Management, Artificial Intelligence, or a comparable field. Additional certifications in Data Science, Machine Learning, Knowledge Modeling, or Project Management are beneficial.
Experience
- At least 3 years in Knowledge Engineering, Knowledge Management, or a comparable role
- Experience in projects involving clients and interdisciplinary teams
- Professional experience with databases, ontologies, semantic technologies, and SPARQL
- Professional experience with LLMs, Chatbots, Agents, RAG, AI classification, and Machine Learning Pipelines
Languages
Additional
- Not specified
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