Editorial summary

The company seeks a Process Control Engineer to drive AI/ML and data-driven solutions for wafering performance, productivity, and cost efficiency in manufacturing. The role requires building scalable automation workflows with Python, SQL databases, and containerized services, developing Run-to-Run control and data-collection workflows via EES, and deploying AI/ML models to support operations. Experience with DevOps, CI/CD practices, and translating process requirements into scalable automation is essential. The position offers a salary of 5,000 and is based in the East Region.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/process-control-engineer-manufacturing-pcs-python-east-region-38249 first appeared in Job-Q.com on 16 Oct 2026]

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  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

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