Application Engineer (AI)

Systems on Silicon Manufacturing Company Pte Ltd (SSMC); Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A semiconductor manufacturing company in Singapore is seeking an Engineer/Senior Engineer to join their Automation & Systems Department. The role involves monitoring AI powered applications, deploying new systems, and ensuring quality assurance. Candidates should possess a Bachelor's degree in Engineering or a related field, with 1-3 years of experience in Machine Learning and experience in the semiconductor sector preferred. The company promotes equal employment opportunities.

Qualifications

• 1-3 years of experience with Machine Learning models and prompt engineering.
• Experience in manufacturing or semiconductor industry.
• Familiar with data engineering and big data management.

Responsibilities

• Monitor and maintain existing AI powered applications.
• Deploy newly introduced AI powered applications across Fab.
• Identify image quality issues and resolve application-related issues.

Skills

Machine Learning models

Large Language Models (LLM)

Python

C++

JavaScript

R programming

Data visualization tools

SQL databases

Cloud platforms

Docker

Git

Education

Bachelor’s degree in Engineering, Computer Science, Data Science, or related field

Tools

Power BI

Tableau

MLflow

Kubeflow

Job description

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer‑manufacturing processes.

We’re looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Engineer/ Senior Engineer to be part of our Automation & Systems (Fab Automation & Application) Department diverse team of talent.

What you will be working on:

Model Operations & Maintenance:

• Monitor and maintain existing AI powered applications in production environment
• 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

More about you:

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related technical field
• 1-3 years of experience with Machine Learning models, Large Language Models (LLM) concepts and prompt engineering for solution implementation
• Experience in manufacturing or semiconductor industry
• Familiar in data engineering, big data management, data modeling and warehousing
• 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)
• Detail‑oriented with strong organizational skills
• Ability to work independently and follow standard operating procedures
• Willingness to learn, agile and adapt rapidly to new technologies and processes

SSMC is firmly committed to upholding equal employment opportunities for all individuals. We strictly adhere to the Tripartite Guidelines on Fair Employment Practices (TGFEP), the Singapore Food Safety and Security Act 2025 (FSSA 2025), and the Singapore Code of Advertising Practice. All qualified applicants will receive non‑discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.