Process Control Engineer (Manufacturing/PCS/Python, East Region)

HKM HR Management Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

The Consortium for Clinical Research and Innovation Singapore is seeking a candidate proficient in Python and SQL to develop AI/ML solutions that enhance wafering performance and productivity. Responsibilities include building automation workflows, deploying AI models, and implementing DevOps practices. The ideal applicant will also translate manufacturing requirements into effective solutions, collaborate across teams, and maintain documentation.

Qualifications

• Proficient in Python programming for automation and data-driven applications.
• Skilled in SQL databases for data querying, management, and analysis.
• Knowledge of manufacturing processes and engineering principles.
• Familiar with workflow automation and translating operational needs into solutions.
• Exposure to DevOps practices, including CI/CD and version control.

Responsibilities

• Identify and implement AI/ML and data-driven solutions.
• Develop and integrate Run-to-Run control and data workflows.
• Translate manufacturing requirements into automation workflows.
• Build, deploy, and maintain AI/ML models.
• Implement DevOps and CI/CD practices.

Skills

Python programming

SQL databases

Analytical skills

Problem-solving

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.