Communicate regularly with key stakeholders across remote sites through weekly, bi-weekly, and monthly meetings, providing timely and accurate project updates.
Interface with designers, test, product, process integration and unit process engineers, problem solving team, CQM (customer quality management) team to understand the analysis requirement.
End-to-End Model Lifecycle Management: Participate in the full lifecycle of AI/ML model development and implementation, depending on project stage and requirements.
Technical Knowledge: Gain direct exposure & understanding of the semiconductor manufacturing test processes, at the same time learn how to handle big data to gain meaningful insights & build data visualization dashboards. Gain exposure to various applications leveraging on state-of-the-art digitalization/ AI methods that benefit test optimization.
AI Tooling Adoption: Use agentic AI tools (e.g., GitHub Copilot, Claude) in day-to-day work, and help refine the skills, instructions, and agent setups the team relies on.
Event & Announcement Photography: Capture and edit basic photography for events, announcements, and social media; prepare images for web and internal use
Develop and implement Industrial Engineering strategies focused on capacity planning, workforce optimization, process efficiency, and resource utilization.