Knowledge Engineer | Knowledge Engineer (m/w/d)
PANTOPIX GmbH & Co. KG
Job Summary
This role involves diving deep into client knowledge domains, modeling complex relationships, and developing intelligent systems to make knowledge accessible and reliable. The Knowledge Engineer will be responsible for designing, developing, and maintaining semantic data models, knowledge graphs, and relational databases. Key activities include creating precise ontologies and taxonomies with subject matter experts, developing efficient SPARQL queries, and optimizing existing knowledge models. A critical component is integrating and optimizing modern AI technologies, such as Large Language Models (LLMs), RAG systems, and chatbots, while also developing and orchestrating Data Engineering pipelines within customer and cloud infrastructures. The ideal candidate holds a degree in Computer Science or a related field and brings at least three years of professional experience in Knowledge Engineering, coupled with expertise in semantic technologies, Python programming, and modern AI concepts, working collaboratively within interdisciplinary client projects.
Required Skills
Education
Completed degree in Computer Science, Information Science, Knowledge Management, Artificial Intelligence, or a comparable field. Additional certifications/qualifications 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
- Know-how in LLMs, Chatbots, Agents, RAG, AI classification, and Machine Learning Pipelines
- Experience with tools like PoolParty, AVM, AnzoGraph DB, or Ontotext GraphDB
Languages
Additional
- Unspecified contract duration (Permanent employment).
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