About the role
AI summarisedData Engineer role at a semiconductor/technology company, focusing on designing and deploying process automation workflows, building data reports and dashboards, and developing predictive AI models to support Smart Factory operations and decision-making.
FablessFull-timeHardware Engineering
Key Responsibilities
- Design, develop and deploy process automation workflows to support Smart Factory operation.
- Extract, transform and analyze data into accurate, meaningful and actionable reports to support operational and business decision making, such as yield reports with data visualizations and recommendations.
- Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.
- With Product and Process knowledge, ensure data integrity for YMS tools.
- Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s).
- Design, build and maintain Predictive AI Models to enable proactive decision-making.
Requirements
- Bachelor's Degree in Computer Science or Electronic/Electrical Engineering, with min. 2 years' experience in Data Analytics field.
- Proficiency in SQL and experience working with relational databases.
- Strong working knowledge of statistics and its applications.
- Experience in building automated reports.