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-driven applications.
- Skilled in SQL databases for data querying, management, and analysis.
- Knowledge of manufacturing processes, engineering principles, and process control concepts.
- Familiar with workflow automation and translating operational needs into technical solutions.
- Exposure to DevOps practices, including CI/CD, Git version control, automated testing, and software maintenance.
- Strong analytical and problem-solving skills with the ability to interpret complex manufacturing data.
- Able to work independently and collaboratively in a team environment.
- Good communication and interpersonal skills.
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HOW TO APPLY :
Interested candidates, please submit your resume by clicking on Quick Apply or contact [Confidential Information] for more details.
Please provide following information in the resume for immediate processing
1) Reasons for leaving current and/or last employment
2) Last drawn and/or current salary
3) Expected salary
4) Date of availability and/or Notice Period
All applications will be treated in strictest confidence and only shortlisted candidates will be notified
Wee Wai Dan
EA License No : 03C5391
EA Reg No : R22109628
