Data Cleansing & Exploration: collect & conduct data exploration, cleansing & transformation
Data Analysis & Interpretation: build data visualization dashboard to provide quick data insights
Develop new solutioning methods: Assist in conducting proof-of-concept studies or design experiments to evaluation new solutions for test optimization
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#WeAreIn for jobs that impact everyone's life Help us shape the foundation that keeps Infineon’s production running – stable, safe, and ready for the future. As a Senior Engineer Analytics and Artificial Intelligence in our Manufacturing and Operations team, your contribution ensures that innovation never stands still. Together, we make reliability our strongest asset.
AI Agent & Workflow Development: Design and prototype intelligent AI agents and orchestrate complex workflows to solve real-world supply chain challenges.
System Integration & API Development: Support the engineering of APIs and applications that seamlessly integrate AI solutions with existing internal enterprise systems.
Data Engineering & Automation: Develop and maintain robust data pipelines and automation scripts using Python and SQL to ensure data integrity and efficiency.
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Strong desire to grow a career as a Data Engineer and in Data Management, focus in productivity improvement in highly automated industrial manufacturing
Data Quality validation and responsible for manufacturing equipment data
Explore and roll out digitalization workflow automation for assigned tasks
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Requirements Analysis: Understand Key Package Requirements for New Product Introduction (NPI), including Technology, Bill of Materials (BoM), Package Design Features, Assembly Site, Electrical specs, and Cost.
Strategic Simplification: Enable fast and timely strategic thinking by simplifying large and complex data sets according to Key Package requirements.
Data Management: Collect, clean, and organize data from the IFX Database.
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Implementing and benchmarking cutting-edge large language and multi-modal models and Agentic AI systems, analyzing their emergent patterns and system performance bottlenecks.
Lead and/or support end-to-end data science projects including data cleaning with large data sets(including processing, manipulation,analysis,modelling etc.)analyzing data trends,correlations and patterns,translating data into insights to drive business and operational decisions.
Act as an analytics translator, communicate complex data related requirements (from the business) to other parties (eg IT). Facilitate interactive design sessions with business user and use experimentation methods and design tests to optimize visualization experiences.
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Design, develop, and maintain scalable data pipelines, data models, and data products supporting Quality and Manufacturing use cases.
Collect, integrate, process, and transform structured and unstructured data from manufacturing systems, testing platforms, quality databases, customer feedback systems, and enterprise applications.
Ensure data reliability, availability, scalability, and performance across quality-related analytics solutions.
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Design, develop, and maintain scalable data pipelines, data models, and data products supporting Quality and Manufacturing use cases.
Collect, integrate, process, and transform structured and unstructured data from manufacturing systems, testing platforms, quality databases, customer feedback systems, and enterprise applications.
Ensure data reliability, availability, scalability, and performance across quality-related analytics solutions.
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