Tata Consultancy Services Limited Hiring! Full Time Fab IT - Automation (IT-A) Engineer (AI - Data-Driven Manufacturing) in , Earn up to SGD 144,001 - Ricebowl

Key Responsibilities:

• Implement and maintain fab-wide applications such as Manufacturing Execution Systems (MES), Advanced Process Control (APC), and Equipment Automation.
• Develop and maintain automation solutions for semiconductor manufacturing equipment (e.g., SECS/GEM, EDA, OPC, FDC).
• Develop real-time monitoring and anomaly detection systems using machine learning.
• Work with process and yield engineers to create predictive models for defect reduction and process optimization.
• Develop and deploy AI/ML models to optimize semiconductor manufacturing processes, reduce downtime, and improve yield.
• Implement AI-powered predictive maintenance for equipment health monitoring and failure prevention.
• Work with engineering and data science teams to integrate AI-driven analytics into factory systems.
• Enhance process automation with AI-based decision-making algorithms and real-time analytics.
• Implement and optimize data acquisition, analysis, and predictive maintenance tools for production systems.
• Work with equipment suppliers and internal teams to integrate new equipment into fab IT infrastructure.
• Ensure seamless connectivity between manufacturing tools and factory control systems.

Qualifications & Skills:

Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Information Technology, Electrical Engineering, or a related field.

Experience: 5+ years in semiconductor manufacturing IT, automation, AI, or a similar role preferred.

Technical Skills:

• Knowledge of MES, SECS/GEM, EDA, APC, and factory automation systems.
• Knowledge in Digital twins, smart manufacturing, cyber-physical systems.
• Knowledge in Integration of AI-driven automation with robotic process automation (RPA).
• Experience in Industrial IoT (IoT) and real-time sensor data acquisition.
• Edge computing and real-time analytics for semiconductor fab operations
• Experience with AI/ML frameworks, Expertise in programming (Python, R, Java, SQL) for AI model development and data analytics.
• Familiarity with cloud computing (AWS, Azure, GCP) and edge computing for real-time AI applications.
• Understanding of network infrastructure, cybersecurity, and IT system administration.