Job Description
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.
Requirements:
Proficient in Python programming for automation and data-dri...
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.
Requirements:
Proficient in Python programming for automation and data-dri...