Job Description

Company Overview

Our client is a Japanese manufacturing company with a strong global presence and decades of industry experience, having established our Malaysian operations in 1997. With a team of 50–100 employees locally, they specialize in the production and sale of ceramics and electronic components, continuously evolving through research, development, and innovation.

What they Do

Their core business spans across:

• Ceramic production for industrial and electronic applications
• Manufacturing of electronic components and devices
• Ongoing development of related advanced materials and technologies

Their commitment to quality and innovation has enabled them to expand their operations globally, with active business locations in Japan, Malaysia, Korea, China, Europe, America, Taiwan, and India.

Job Roles

 The AI Engineer will be responsible for developing, implementing, and maintaining machine learning models and AI solutions to optimize manufacturing processes. This role involves working closely with cross-functional teams to collect data, identify process bottlenecks, and translate operational challenges into data-driven insights that improve productivity, yield, and quality.

•  Design, develop, and deploy machine learning models to support predictive maintenance, process optimization, defect detection, and yield improvement.
• Collect, clean, and preprocess large datasets from production lines, sensors, and quality control systems.
• Collaborate with production and equipment engineers to identify use cases for AI implementation.
• Develop algorithms for anomaly detection, process control, and root-cause analysis.
• Implement data visualization dashboards for real-time process monitoring.
• Conduct model performance evaluation and continuous improvement.
• Support integration of AI solutions into manufacturing systems (e.g., MES, PLC, SCADA).
• Stay updated on AI/ML trends and recommend new tools or technologies for factory digitalization.
• Document methodologies and ensure reproducibility of models and results. 

Job Requirements

• Min. Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Mechatronics, Electrical/Electronic Engineering, or related field.
• Minimum 2–3 years of experience in AI or machine learning applications, preferably in a manufacturing or industrial environment.
• Strong programming skills in Python and familiarity with SQL or NoSQL databases.
• Knowledge of data visualization tools (e.g., Power BI, Tableau, or Dash).

<Advantageous>
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Experience with IoT or industrial data collection systems is a plus.
• Understanding of manufacturing processes, equipment data, and sensor integration.
• Familiarity with predictive analytics and computer vision (image-based quality inspection).
• Strong problem-solving mindset and ability to work collaboratively in cross-functional teams.
• Good communication and presentation skills.

Skills