AI-Driven Process Engineer for Predictive Maintenance

GLOBALFOUNDRIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

GlobalFoundries Singapore is seeking an engineer with data science background to join our Digital Manufacturing journey, focusing on predictive maintenance using data analytics, ML, and AI to forecast equipment failures and enable just-in-time maintenance.

You will collaborate with process and equipment teams, develop ML models, test algorithms, and deploy solutions into production with proper documentation, following quality standards across Fab locations.

Qualifications

• Degree in Computer Science/Engineering or related field with 3 years of working experience.
• Strong theoretical and practical knowledge of key areas in Artificial Intelligence.
• Proficiency in programming languages such as Python.
• Experience with Relational Databases; MySQL, PostgreSQL, Oracle
• Knowledge of machine learning frameworks such as Sagemaker Studio, PyTorch, Tensorflow, Keras.
• Independent and good experience in troubleshooting application bugs and performance issues.
• Team player with positive work attitude and good interpersonal and communication skills.

Responsibilities

• Work in close collaboration with process and equipment team.
• Perform data analytics which include analyzing sensor data, process recipe and historical trend of equipment performance.
• Research and implement appropriate ML algorithms and tools.
• Conduct machine learning tests and experiments with appropriate datasets and data representation methods.
• Develop machine learning applications according to requirements such as tool type, recipe, and equipment constraint.
• Integrating proven machine learning solution into maintenance system with statistical analysis and fine-tuning machine learning models.
• Establish business processes necessary to deploy and upkeep the machine learning model in production, as well as their documentation according to quality standards.
• Scale up machine learning solution to other equipment.
• Ensure continuous knowledge exchange on best known methods and improvement levers across geographical locations (e.g. Fab 1/7/8/9).

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Python

MySQL

PostgreSQL

Oracle

Sagemaker Studio

PyTorch

TensorFlow

Keras

Job description

GlobalFoundries Singapore is seeking an engineer with data science background to join our Digital Manufacturing journey, focusing on predictive maintenance using data analytics, ML, and AI to forecast equipment failures and enable just-in-time maintenance.

You will collaborate with process and equipment teams, develop ML models, test algorithms, and deploy solutions into production with proper documentation, following quality standards across Fab locations.