Semantics Engineer

You will play a crucial role in shaping the future of Data & Analytics and actively contribute to the success of the digital transformation at ZEISS. As member of the Team Semantic Services, you will help our business units to design, build, and maintain knowledge-based systems, driven by the vision to enable everyone to effectively find, learn, share, & innovate throughout the enterprise.

Your role:

• Work in a team with experienced data scientists, data & software engineers & product owners and create scalable, reusable and performant data-driven applications running in productive environments
• Develop recommenders, semantic search, chatbots, digital twins, leveraging our semantic stack centrally featuring Knowledge Graphs and GenAI
• Extract information from unstructured data incl. documents, images, time series, engage in data & knowledge / ontology modelling, knowledge graph construction and validation
• Develop and apply algorithms based on graph queries and reasoning (e.g., SPARQL, RDFS+, OWL), AI/ML (e.g., NLP, GraphML) and GenAI (e.g., GPT, Agents) to enable our use cases on top of knowledge graphs
• Convey technically difficult concepts in a clear and understandable way, translate business needs to technical specifications, and provide guidance for knowledge graph & ontology development to other teams
• Evaluate the latest methods and technologies and help shape the design of our use cases & applications and data & analytics infrastructures
• Continuously improve quality and performance while owning applications from idea to operations

Your Profile

• An excellent university degree (MSc/PhD) in information technology, computer science, natural sciences, or similar training
• At least 3 years of working experience in data engineering, building (semantic) knowledge graphs, querying (graph) data using standard query languages (SQL, SPARQL), extracting information using Natural Language Processing & GenAI / GPT
• Excellent programming skills in Python, including mastering standard libraries for data engineering, machine learning and data science; knowledge of at least one other programming language (e.g. Java, React) is a plus
• Familiarity with machine actionable languages (e.g., RDF), linked data principles and standards, & OWL-based ontology modelling in commonly used tools
• Solid understanding of at least one of Graph Analytics, Machine Learning / Deep Learning, GenAI, Natural Language Processing
• Experience with Cloud technologies like Microsoft Azure (e.g., Synapse, Databricks, Purview), CI/CD using e.g., git, docker, Azure Devops
• Experience with Agile software-development using Scrum / Kanban
• An independent (“can-do”), solution-oriented and team-oriented way of working, not afraid to take on responsibility
• Strong desire to learn & upskill at the intersection of data, science & industry
• Strong desire to develop into a lead developer role and take responsibility of projects as technical product owner

Your ZEISS Recruiting Team:

Bartha Györgyi, Bartók Tímea, Fedor Fanni, Meláth Laura, Sturcz Noémi, Sztaskó Daniella, Wenner Lili