The client is a world-leading semiconductor fabrication provider with over 20 years of presence in Singapore, is seeking a Application Engineer to join the Automation & System Department's diverse team.
Role: Application Engineer (Artificial Intelligence)
Employment Type: 12-month Contract (Renewable)
Location: East Singapore (onsite)
Working Pattern: Regular Office Hours
Key Responsibilities
Model Operations & Maintenance:
- Monitor and maintain existing AI powered applications in production environment
- To track model performance metrics and detect performance deviation
- Execute model retraining procedures using established workflows and protocols
- Document model performance changes and maintenance activities
Equipment Integration & Model Enhancement:
- Deploy and fan out newly introduced AI powered application across Fab
- Coordinate with base models and collect equipment-specific data for model fine-tuning
- Implement model updates and enhancements using pre-configured pipelines
- Validate model performance after updates and equipment integrations
Quality Assurance & Issue Resolution:
- Identify image quality issues, data drift, and model performance anomalies
- Collaborate with users to resolve application/hardware related issues affecting model accuracy
- Perform basic troubleshooting of AI pipeline components
- Escalate complex technical issues and work with vendors for resolution
- Develop and implement improvement plan to enhance the accuracy and response quality.
Data Management & Documentation:
- Work with IT department to maintain clean, organized datasets for model training and validation
- Create and update technical documentation for maintenance procedures
- Generate regular reports on model performance and system health
- Ensure compliance with data governance and quality standards
- Continuously monitor, analyze, and improve existing chatbot systems to maintain efficiency and high performance
Requirements:
- Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field
- At least 2 years of experience with Machine Learning models, Large Language Models (LLM)concepts and prompt engineering for solution implementation.
- Experience in manufacturing or semiconductor industry.
Technical Skills:
- Proficiency in Python, C++, JavaScript and R programming
- Proficiency with data visualization tools (Power BI, Tableau, matplotlib, seaborn, or similar) and web application development
- Familiarity with MLOps platforms (MLflow, Kubeflow, or similar)
- Familiar with data manipulation libraries (pandas, numpy)
- Experience with SQL databases (e.g. PostgreSQL)
- Experience with cloud platforms (AWS, Azure, or Google Cloud, GitHub)
- Basic knowledge of containerization (Docker) and version control (Git)
Interested candidates, please send your resume to [Confidential Information] with the subject of AI Engineer. Thank you.
