ASEM - Advanced Semiconductor Academy Of Malaysia Hiring! Full Time AI Engineer in Selangor - Ricebowl

About ASEM

ASEM (Advanced Semiconductor Academy of Malaysia) is based out of Malaysia Semiconductor IC Design Park II, is dedicated to developing next-generation semiconductor talent and translating applied research into commercial silicon. Its thematic focus includes AI accelerators, custom silicon for edge and physical AI, advanced SoC architectures, chiplets and heterogeneous integration, and low-power, high-performance IC design.

About MSRD

Malaysia Semiconductor Recruitment Day (MSRD) 2026 brings together 70+ semiconductor companies, 1,000+ job opportunities, and 40+ industry speakers under one platform, connecting talents with employers across the semiconductor industry in KLCC on 14-17 Oct 2026.

Ahead of the event, we are featuring selected openings from participating employers to help candidates discover available opportunities and identify roles that match their experience and career interests. Submit your resume for relevant opportunities, and join us at MSRD 2026 to meet participating employers and explore more career openings.

Job title: AI Engineer 

Years of Experience: 2-3 years 

Talent Category: Experienced candidate 

Type of Employment: Full time

Job Description:

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

Disclaimer

By submitting your application/resume through ASEM / MSRD 2026, you acknowledge and agree that your information may be shared with relevant participating employer(s) for recruitment and candidate consideration purposes. Submission of your application does not guarantee an interview, selection, or employment offer. Final recruitment decisions are made solely by the respective employer(s).