Staff Engineer, AI/ML for Data-Driven Process Optimization

Ams Osram; Bayan Lepas; On-site; MYR 120,000 - 180,000; Full time

Job summary

ams OSRAM Opto Semiconductors in Penang, Malaysia, seeks a qualified engineer to design, implement, and deploy AI/ML models for manufacturing automation. You will work across shopfloor and IT/OT interfaces to improve process control.

The role requires hands-on Python coding, Six Sigma experience, and collaboration with cross-functional teams to deliver robust data-driven solutions that reduce downtime and optimize performance.

Qualifications

• Bachelor's or master's degree in relevant fields; strong signal processing foundation.
• 3–5 years in manufacturing automation, ML/AI deployment or data engineering.
• Six Sigma Green Belt or Black Belt preferred; cross-functional project exposure.

Responsibilities

• Develop and validate AI/ML/Mathematical models for production performance.
• Design and optimize processing algorithms; select ML/AI techniques.
• Containerize and deploy model inference with minimal downtime.
• Maintain model versioning, configuration, and deployment scripts.
• Drive Six Sigma improvements on prediction power, latency, cost, automation.
• Collaborate with Process/EQ Engineering; translate domain knowledge to model needs.
• Define SOPs for model drift detection and recalibration; troubleshoot issues.
• Integrate edge computing units with machines via industrial protocols.
• Coordinate with IT/OT on network, cybersecurity and MES interfaces.

Skills

Python coding

Six Sigma Green Belt

Project leadership

Root cause analysis

Communication in English

ML deployment

Data analytics

Education

Bachelor's in Computer Engineering

Master's in Data Analytics

Physics (signal processing)

Job description

ams OSRAM Opto Semiconductors in Penang, Malaysia, seeks a qualified engineer to design, implement, and deploy AI/ML models for manufacturing automation. You will work across shopfloor and IT/OT interfaces to improve process control.

The role requires hands-on Python coding, Six Sigma experience, and collaboration with cross-functional teams to deliver robust data-driven solutions that reduce downtime and optimize performance.