Knowledge Engineer (m/w/d)

About Us

Why Us?

• We care about you: We always have an open ear for our employees and are a competent contact person for all concerns.
• Flat hierarchies: Appreciation for the employee is our top priority.
• For your security: You will receive a permanent employment contract so that we can work with you long-term.
• It's worth working here: Attractive and above-tariff remuneration is a matter of course for us.
• Looking for variety in your life: We offer you interesting and challenging tasks.
• We stick together: Through our regular events such as company outings or Christmas parties, we strengthen our team and have a great time together.

Your Tasks

• Conception and continuous further development of complex knowledge graphs, ontologies, and classification systems
• Implementation and control of modern data pipelines within various cloud environments and customer infrastructures
• Realization and refinement of innovative AI solutions, especially in the areas of Retrieval Augmented Generation (RAG), automated classification, and intelligent assistance systems
• Technical consulting for demanding industrial customers in the digital mapping and structuring of specific subject domains
• Programming of efficient solutions using Python and creation and optimization of performant queries in SPARQL
• Close cooperation within a specialized expert team for quality assurance and technological innovation

Your Profile

• Sound professional experience in semantic data modeling or knowledge engineering, ideally in an industrial context
• Completed studies in computer science, computational linguistics, information management, or a comparable field of study
• In-depth expertise in the application of semantic web technologies such as RDF, SPARQL, and SHACL
• Confident programming skills in Python, especially with regard to the deployment and error analysis of technical applications
• Practical routine in handling graph databases and specialized tools for metadata management
• Fluent English skills as well as good German skills for professional communication
• A proactive approach to work and the ability to confidently represent complex issues both in a team and directly with customers
• Ideally, initial exposure to mechanical engineering or expertise in machine learning and data science