Your RoleYou 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 environmentsDevelop recommenders, semantic search, chatbots, digital twins, leveraging our semantic stack centrally featuring Knowledge Graphs and GenAIExtract information from unstructured data incl. documents, images, time series, engage in data & knowledge / ontology modelling, knowledge graph construction and validationDevelop 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 graphsConvey 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 teamsEvaluate the latest methods and technologies and help shape the design of our use cases & applications and data & analytics infrastructuresContinuously improve quality and performance while owning applications from idea to operationsYour ProfileAn excellent university degree (MSc/PhD) in information technology, computer science, natural sciences, or similar trainingAt 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 / GPTExcellent 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 plusFamiliarity with machine actionable languages (e.g., RDF), linked data principles and standards, & OWL-based ontology modelling in commonly used toolsSolid understanding of at least one of Graph Analytics, Machine Learning / Deep Learning, GenAI, Natural Language ProcessingExperience with Cloud technologies like Microsoft Azure (e.g., Synapse, Databricks, Purview), CI/CD using e.g., git, docker, Azure DevopsExperience with Agile software-development using Scrum / KanbanAn independent (“can-do”), solution-oriented and team-oriented way of working, not afraid to take on responsibilityStrong desire to learn & upskill at the intersection of data, science & industryStrong desire to develop into a lead developer role and take responsibility of projects as technical product ownerYour ZEISS Recruiting Team:Markus Repp
