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Diese Position berichtet an:
R&D Team Lead
Key responsibilities
The work model for the role is: #LI-Hybrid
You will be mainly accountable for:
* Creation of AI-based methods and tools to perform entity and relationship extraction from a diverse pool of (possibly multimodal) data
* Linkage of information across different databases to ensure coherence and completeness
* Enhancement of the quality of information by merging multiple data sources
* Building Knowledge Graph augmented pipelines to analyze data from multiple sources
* Creating methods and tools to maintain, validate, and continuously update an industrial knowledge graph
* Performing evaluation analysis and results benchmarking
* Continuously documenting and actively presenting your work to the involved parties
Qualifications for the role
* You are currently studying Computer and Data Engineering or Data Science.
* You have experience with NLP, graph technologies, and graph query languages (e.g., Cypher, SPARQL).
* You know your way around NLP, Knowledge graphs, graph databases (e.g. GraphDB, Neo4j) and graph query languages (e.g., Cypher, SPARQL).
* You have a good understanding of RDF, OWL, and graph data models.
* You are experienced in working with Python-based RAG and agentic systems and frameworks (e.g., LangChain, LangGraph, CrewAI).
* You have experience with Databases (SQL, NoSQL) and Git as well as Large Language Models and prompt engineering.
* You know your way around knowledge graph creation, validation, update, inference.
* Ideally you have theoretical or practical knowledge in the field of electrical engineering, particularly switchgears.
* You are fluent in English, spoken and written.
* You are creative and flexible, open-minded and proactive, with good communication skills.
* You have an analytical and structured way of thinking.
* You are motivated, friendly and able to work independently as well as in a team.
Interested in joining our team? We are looking forward to receiving your complete application (CV, Cover letter, Transcript of records) through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.
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