Du verfügst über fundiertes Verständnis moderner Softwarearchitektur (z. B. Microservices, Domain-driven Design, Event Sourcing). Du hast fundierte Kenntnisse in mindestens einer modernen Programmiersprache (z. B. Kotlin, Java). Du bringst Erfahrung im Umgang mit Cloud-Plattformen (z.
Knowledge of ME Methods & Tools: Methods: WPR, industrial process design, industrialization, Jigs & Tools (J&T), time studies and calculation (e.g. PERT, MTM-STV Airbus). Tools & Systems: SAP (PP/PM), PLM systems (Zamiz, TiCon, TAKSY, DocMaster/ECM), Delmia/Apriso, Google Workspace, Microsoft Office.
Knowledge of ME Methods & Tools: Methods: WPR, industrial process design, industrialization, Jigs & Tools (J&T), time studies and calculation (e.g. PERT, MTM-STV Airbus). Tools & Systems: SAP (PP/PM), PLM systems (Zamiz, TiCon, TAKSY, DocMaster/ECM), Delmia/Apriso, Google Workspace, Microsoft Office.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.