AI Application Engineer

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.