AI Application Engineer

SYSTEMS ON SILICON MANUFACTURING COMPANY PTE LTD; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) in Singapore seeks an AI Engineer to join the Fab Intelligence & Application Department. You will monitor AI-powered applications in production, track model performance, and coordinate retraining and deployment across the fab.

You will work with Python, ML frameworks, data engineering tools, and MLOps platforms, ensuring data governance and reliable model behavior while documenting processes and reporting on system health.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field.
• 3-5 years of experience with Machine Learning models and LLM concepts.
• Experience with TensorFlow/PyTorch.
• Familiar with data engineering, big data management, data modeling and warehousing.
• Proficiency in Python, C++, JavaScript and R.
• Proficiency with data visualization tools (Power BI, Tableau, matplotlib, seaborn, or others).
• Familiar with MLOps platforms (MLflow, Kubeflow, or similar).
• Familiar with data manipulation libraries (pandas, numpy).
• Experience with SQL databases (PostgreSQL).
• Experience with cloud platforms (AWS, Azure, Google Cloud, Github).
• Basic knowledge of Docker and Git.
• Detail-oriented with strong organizational skills and ability to work independently.

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

Machine Learning

LLM concepts

Prompt engineering

Python

C++

JavaScript

R

Power BI

Tableau

Matplotlib

Seaborn

Pandas

Numpy

PostgreSQL

AWS

Azure

Google Cloud

Git

Docker

MLOps

Kubeflow

Data Engineering

Big Data

Data Modeling

Data Warehousing

Data Governance

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

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 AI Engineer to be part of our Fab Intelligence & Application Department 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.