Plan and manage resources (headcount, skills, priorities) to support daily manufacturing needs, escalations, and strategic projects; balance workload across product series and value streams.
Own process engineering deliverables for NPI or transfer projects: feasibility, process concept, capacity planning, industrialization roadmap, and readiness reviews to ensure on-time SOP.
Lead cross-functional collaboration with Product Design, Quality, Production, Maintenance, Supply Chain and global counterparts to deliver robust processes supported by Design for Manufacturing / Assembly / Test (DFM / DFA / DFT) improvements.
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Plan and manage resources (headcount, skills, priorities) to support daily manufacturing needs, escalations, and strategic projects; balance workload across product series and value streams.
Own process engineering deliverables for NPI or transfer projects: feasibility, process concept, capacity planning, industrialization roadmap, and readiness reviews to ensure on-time SOP.
Lead cross-functional collaboration with Product Design, Quality, Production, Maintenance, Supply Chain and global counterparts to deliver robust processes supported by Design for Manufacturing / Assembly / Test (DFM / DFA / DFT) improvements.
...
Plan and manage resources (headcount, skills, priorities) to support daily manufacturing needs, escalations, and strategic projects; balance workload across product series and value streams.
Own process engineering deliverables for NPI or transfer projects: feasibility, process concept, capacity planning, industrialization roadmap, and readiness reviews to ensure on-time SOP.
Lead cross-functional collaboration with Product Design, Quality, Production, Maintenance, Supply Chain and global counterparts to deliver robust processes supported by Design for Manufacturing / Assembly / Test (DFM / DFA / DFT) improvements.
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Support in processing automation and digital transformation initiatives, with growing exposure to AI tools (LLMs, prompt engineering) for knowledge retrieval and decision support.
Develop and maintain prompt engineering strategies for improving model performance. Document experiment, design code, and system interfaces to ensure maintainability and scalability.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related Engineering field.
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