Process Control System Engineer

Responsibilities

• Develop and implement advanced process control, automation, and AI/ML solutions to improve manufacturing performance and productivity;
• Design and integrate data collection systems, process control workflows, and engineering solutions using Python and SQL-based technologies;
• Build, deploy, and maintain AI/ML models and operational dashboards to support manufacturing operations;
• Implement DevOps best practices, CI/CD pipelines, and version control for reliable software deployment and maintenance;
• Analyze manufacturing data, identify improvement opportunities, and drive data-driven decision-making initiatives;
• Collaborate with engineering, IT, and global teams to ensure scalable, integrated, and sustainable solutions across manufacturing sites.
• Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.
• When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website (https://www.sciente.com/privacy-policy).
• Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
• EA License No. 07C5639

Additional Information

Job Summary We are looking for a Process Control System Engineer to develop and support advanced process control, automation, and AI/ML-driven solutions that enhance manufacturing performance, productivity, and operational efficiency in a high-volume production environment. Mandatory Skill-set Must have Strong programming proficiency in Python; Hands-on experience with SQL databases for data querying, analysis, and management; Understanding of manufacturing processes, process control systems, and engineering principles; Must have experience in workflow automation, data-driven solutions, and system integration; Strong analytical, problem-solving, and data interpretation skills; Good communication skills with the ability to work independently and collaborate with cross-functional teams; Desired Skill-set Exposure to AI/ML model development and deployment; Experience with DevOps practices, CI/CD pipelines, Git, and automated testing; Knowledge of containerized services and production software maintenance; Semiconductor manufacturing or high-volume manufacturing industry experience is preferred;

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