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-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 win@hkmsvs.com 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