Position Summary: 

We are seeking a Factory Digital Twin Front End and AI Data Solutions Engineer to join our dynamic development team.

In this role, you will drive the development and implementation of Factory Digital Twins, supporting the Digital Governance and Excellence Team.

The ideal candidate should have a strong background in engineering or computer science, with experience in web application development, database management, and AI algorithms.

A Snapshot of your Day

How You’ll Make an Impact (responsibilities of role)

Development and maintenance of web-applications that will improve the user-interaction with the application Factory Digital Twins Simulation (FDTS). Development of structures for data and knowledge like glossaries, taxonomies and ontologies, knowledge graphs as well as modelling of logical constraints and rules in combination with LLM. Cooperation within the Team responsible for the implementation of FDTS on AWS-cloud and rollout in the factories. Analysis of factory data related to the three domains Products, Process and Resources (PPR) and development of ETL (Extraction, Transformation and Loading) Pipelines to generate a standardized input for FDTS. Realization of simulation analytics, automated derivation of recommendations and measures as well as optimization of brownfield or greenfield factories and the manufacturing network. Development of AI algorithms for analytics, explanation, generation of improvement scenarios, and optimization of factories and manufacturing network toward defined situation and business goal functions.

What You Bring (required qualification and skill sets)

Successful university degree in Engineering, Automation, Computer Science, Mathematics, Physics, or similar. Extensive experience in development of applications (Web-UI), databases and graphs, especially in combination with LLM Working knowledge in development of ETL-Pipelines and development of dashboards for data analytics and visualisation. Understanding and experience in Multi-AI-Agent-Systems for optimization purposes. Understanding and experience in 3D Deep Learning is an advantage. Profound understanding and experience in factory domains, production, product structures and manufacturing processes and technologies, especially in factory planning. Proficiency in English and readiness to travel globally is preferable.