AI-Driven Data Engineer for Quality & Manufacturing

Infineon Technologies (Malaysia) Sdn Bhd; Malacca City; On-site; MYR 90,000 - 140,000; Full time

Job summary

Infineon Technologies (Malaysia) Sdn Bhd is seeking a Data Engineer & AI Specialist to drive digital transformation in the Quality organisation. You will design data pipelines, develop AI applications, and build analytics capabilities to improve quality and manufacturing performance.

You will collaborate with Quality, Manufacturing, Engineering, IT, and Business stakeholders to deliver trusted data solutions, AI models, and dashboards that generate actionable insights and business value.

Qualifications

• Master's degree in Computer Science, Data Science, AI, Statistics, Mathematics, or Engineering.
• 1–2 years of experience in Data Engineering, Data Science, AI, BI, or Advanced Analytics preferred.
• Experience in semiconductor, manufacturing, quality management, or related industries is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines, models, and data products for quality and manufacturing use cases.
• Develop AI/ML models, perform predictive analytics, and monitor model performance.
• Create interactive dashboards and KPI frameworks using Power BI and other tools.
• Collaborate with Quality, Manufacturing, Engineering and IT to translate analytics into business value.

Skills

Python

SQL

Data engineering

Cloud platforms

Power BI

Education

Master's degree in Computer Science or related field

Tools

Power BI

ETL/ELT

CI/CD

Job description

Infineon Technologies (Malaysia) Sdn Bhd is seeking a Data Engineer & AI Specialist to drive digital transformation in the Quality organisation. You will design data pipelines, develop AI applications, and build analytics capabilities to improve quality and manufacturing performance.

You will collaborate with Quality, Manufacturing, Engineering, IT, and Business stakeholders to deliver trusted data solutions, AI models, and dashboards that generate actionable insights and business value.