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

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: