Factory Digital Twin Front End and AI Data Solutions Engineer

As a Factory Digital Twin Front End and AI Data Solutions Engineer, you will be responsible for driving the development and implementation of Factory Digital Twins to support the Digital Governance and Excellence Team. Your key responsibilities will include: - Development and maintenance of web-applications to enhance user-interaction with Factory Digital Twins Simulation (FDTS). - Creating data and knowledge structures such as glossaries, taxonomies, ontologies, and knowledge graphs, as well as modeling logical constraints and rules with LLM. - Collaborating with the team to implement FDTS on AWS-cloud and deploy them in the factories. - Analyzing factory data related to Products, Process, and Resources (PPR), and developing ETL Pipelines to generate standardized input for FDTS. - Realizing simulation analytics, deriving recommendations and measures, and optimizing factories and manufacturing networks. - Developing AI algorithms for analytics, explanation, improvement scenarios generation, and optimization of factories and manufacturing networks. To be successful in this role, you should have: - A successful university degree in Engineering, Automation, Computer Science, Mathematics, Physics, or a related field. - Extensive experience in developing applications (Web-UI), databases, and graphs, especially in combination with LLM. - Proficiency in developing ETL-Pipelines and dashboards for data analytics and visualization. - Understanding and experience in Multi-AI-Agent-Systems for optimization purposes. - Understanding and experience in 3D Deep Learning is an advantage. - Profound knowledge in factory domains, production, product structures, manufacturing processes, and technologies, particularly in factory planning. - Proficiency in English and willingness to travel globally is preferable. This job will provide you with an opportunity to work on cutting-edge technology and contribute to the optimization of factories and manufacturing networks. As a Factory Digital Twin Front End and AI Data Solutions Engineer, you will be responsible for driving the development and implementation of Factory Digital Twins to support the Digital Governance and Excellence Team. Your key responsibilities will include: - Development and maintenance of web-applications to enhance user-interaction with Factory Digital Twins Simulation (FDTS). - Creating data and knowledge structures such as glossaries, taxonomies, ontologies, and knowledge graphs, as well as modeling logical constraints and rules with LLM. - Collaborating with the team to implement FDTS on AWS-cloud and deploy them in the factories. - Analyzing factory data related to Products, Process, and Resources (PPR), and developing ETL Pipelines to generate standardized input for FDTS. - Realizing simulation analytics, deriving recommendations and measures, and optimizing factories and manufacturing networks. - Developing AI algorithms for analytics, explanation, improvement scenarios generation, and optimization of factories and manufacturing networks. To be successful in this role, you should have: - A successful university degree in Engineering, Automation, Computer Science, Mathematics, Physics, or a related field. - Extensive experience in developing applications (Web-UI), databases, and graphs, especially in combination with LLM. - Proficiency in developing ETL-Pipelines and dashboards for data analytics and visualization. - Understanding and experience in Multi-AI-Agent-Systems for optimization purposes. - Understanding and experience in 3D Deep Learning is an advantage. - Profound knowledge in factory domains, production, product structures, manufacturing processes, and technologies, particularly in factory planning. - Proficiency in English and willingness to travel globally is preferable. This job will provide you with an opportunity to work on cutting-edge technology and contribute to the optimization of factories and manufacturing networks.