Investigate product and process issues, resolve Change Orders, and implement materials management updates through direct coordination with Computer Integrators and cross-functional engineering teams
Maintain alignment of part qualification and supplier status by coordinating with Supply Chain Operations and Supplier Quality Engineering and ensuring accuracy and consistency within PLM documentation and the approved supplier list
Define, execute, and evaluate system test plans for configuration and system changes, analyze test results against functionality, performance, and quality requirements, and troubleshoot system-level technical issues
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Job Title : Data Automation Engineer (AI & Computer Vision) – Contract
Job Summary: We are looking for a specialized Data Automation Engineer under SIP process engineering department to spearhead advanced defect analysis projects. You will be responsible for developing and deploying real-time automation systems that utilize AI/ML and Computer Vision to identify production defects and manage Quality Discrepancy Notification (QDN) lot containment. This is a critical role aimed at achieving "zero-defect" manufacturing through intelligent, hands-off data orchestration.
Investigate product and process issues, resolve Change Orders, and implement materials management updates through direct coordination with Computer Integrators and cross-functional engineering teams
Maintain alignment of part qualification and supplier status by coordinating with Supply Chain Operations and Supplier Quality Engineering and ensuring accuracy and consistency within PLM documentation and the approved supplier list
Define, execute, and evaluate system test plans for configuration and system changes, analyze test results against functionality, performance, and quality requirements, and troubleshoot system-level technical issues
...
CV-Driven Inspection : Develop and maintain Computer Vision models for real-time automated defect recognition on the production line.
QDA Automation: Architect an automated QDN Lot Containment system that triggers immediate holds or re-routing of suspected sub-standard lots based on AI-detected anomalies.
Real Time Commonality Analysis: Design systems that perform live commonality analysis across multiple equipment sets and batches to pinpoint root causes of defects as they occur.
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Algorithm Development: Design, develop, and implement computer vision algorithms for industrial applications, focusing on feature extraction, pattern recognition, and image analysis.
System Optimization: Utilize Halcon and other image processing tools to optimize existing vision algorithms, improving accuracy, recall, and inference speed.
Vision System Deployment: Handle installation, configuration, and fine-tuning of vision inspection systems at both factory and customer sites.
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