Job Description
Responsibilities
- Identify, analyse, and resolve manufacturing process and quality-related issues through data-driven approaches.
- Develop, implement, and maintain Fault Detection (FD), Predictive Analytics, and Run-to-Run (R2R) control models to improve process stability, yield, and equipment performance.
- Lead and participate in continuous improvement initiatives focused on yield enhancement, cycle time reduction, productivity improvement, and manufacturing cost optimisation.
- Perform exploratory data analysis (EDA) across multiple manufacturing data sources to uncover patterns, root causes, and improvement opportunities.
- Design, develop, and deploy Advanced Process Control (APC) and Machine Learning models to address manufacturing quality and process challenges.
- Collaborate with cross-functional teams including Process Engineering, Equipment Engineering, Quality, IT, and Operations to...
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