AI Application Engineer

Systems on Silicon Manufacturing Co Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is seeking an AI Engineer to join the Fab Intelligence & Application Department. You will monitor AI-powered production applications, track model performance, and execute retraining with established workflows across the fab.

You will collaborate with data engineers and IT to maintain clean datasets, implement updates, and document changes, ensuring governance and high-quality model outputs.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related technical field.
• 3-5 years of experience with Machine Learning models, LLM concepts and prompt engineering.
• Experience with established AI platforms. NLP frameworks and libraries like TensorFlow/ PyTorch
• Experience in lighthouse adoption/ deployment
• 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

Responsibilities

• 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
• 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
• 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.
• 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

Skills

Python

C++

JavaScript

LLM concepts

Prompt engineering

NLP basics

Education

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

Tools

TensorFlow

PyTorch

MLflow

Kubeflow

Docker

Git

PostgreSQL

AWS

Azure

GCP

Power BI

Tableau

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 AI Engineerto be part of our Fab Intelligence & ApplicationDepartment diverse team of talent.

What you will be working on:

• 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

• 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

• 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.

• 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

More about you:

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

• 3-5 years of experience with Machine Learning models, Large Language Models (LLM) concepts and prompt engineering for solution implementation

• Experience with established AI platforms. NLP frameworks and libraries like TensorFlow/ PyTorch

• Experience in lighthouse adoption/ deployment

• 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.