Responsibilities:

• Identify and implement AI/ML and data-driven solutions to improve wafering performance, productivity, and cost efficiency.
• Develop and integrate Run-to-Run (R2R) control and data collection workflows via EES for advanced process control.
• Translate manufacturing and process requirements into scalable automation workflows using Python, SQL databases, and containerized services.
• Build, deploy, and maintain AI/ML models to support manufacturing and operational improvements.
• Implement DevOps and CI/CD practices for reliable software deployment and system maintenance.
• Develop and enhance operational dashboards and workflows for better production visibility and decision-making.
• Collaborate with Process Engineering, IT, and global teams to support scalable cross-site solutions.
• Maintain proper documentation, prepare monthly activity reports, and update records as required.

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