Quality issue analysis: Coordinate the team, use tools such as 5Why, fishbone diagram, and 8D report to conduct root cause analysis on customer complaints or internal non-conforming products, formulate corrective and preventive measures, track and verify the closed-loop effect, and write reports.
Quality Data Management: Query, analyze or output production quality data (such as pass rate, failure rate, MSA) through tools like MES and Minitab, monitor production conditions, and confirm improvement directions.
Quality Training and Awareness Enhancement: Develop quality awareness training materials, carry out QCC (Quality Control Circle) activities, and enhance the quality responsibility of all staff.
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Infrastructure & Engineering Excellence: Manage infrastructure and CI/CD pipelines while ensuring scalability, performance, security, and high code quality through best practices and governance.
The context is automation and AI in the manufacturing industry.
The ideal candidate demonstrates strong technical agility, rapidly mastering new frameworks while maintaining strict standards for clean code, comprehensive documentation, data safety and compliance.
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Monitoring on hold lot disposition and provide communication with engineer in order to not impact daily assembly output.
Maintain all housekeeping / 5s engineering station and tooling’s, to ensure compliance to safety rules.
Monitor all processes, resolve all products issues and coordinate with production and equipment to reduce downtime and getting better product quality.
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