Staff Engineer, Process Engineering (Data Analytics)

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

The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the‑art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.

• Develop and validate AI/ML/Mathematical models (physics-based and data-driven) performance. Establish full data pipeline from end-to-end
• Design and optimize processing algorithms including signal processing, ML/AI techniques selection, feature extraction and threshold calibration with guardrails
• Containerize and deploy model inference on edge or on-prem compute with zero or minimal-downtime operation
• Maintain model versioning, configuration management and deployment scripts across production environments
• Drive continuous improvement with six sigma methodology on model prediction power enhancement, inference latency, compute cost and automation coverage across manufacturing lines
• Collaborate with Process and Equipment Engineering to translate domain knowledge (KPIV/KPOV, OCAP) into model requirements, or with R&D and NPI in new product developement state
• Define SOP of detecting model capability drifts and execute recalibration
• Troubleshoot first-level issues: algorithmic errors, inference failures, edge device connectivity and communication issue
• Integrate edge computing units with machine systems via industrial protocols for real-time data or batch acquisition
• Coordinate with IT/OT on network infrastructure, cybersecurity and MES system interfaces for model deployment

• Candidate must have Bachelor/Master's in Computer Engineering, Data Analytics or Physics (for signal processing).
• 3-5 years in manufacturing automation, ML/AI deployment or industrial data engineering. Exposure to semiconductor/optoelectronics manufacturing or software/algorithm development.
• Six Sigma Green Belt (minimum) or Black Belt preferred for Staff. Project experience spanning at least 3 functional areas: Process Engineering, Equipment Engineering, IT/OT or Data Science. DMAIC-driven model development lifecycle experience.
• Experienced as technical project lead across cross-functional matrix teams. Demonstrated ability to influence key stakeholders toward intelligent automation adoption with tangible value proposition and risk mitigation plan.
• Experienced in root cause analysis (5-Why, Fishbone)
• Experienced in Python coding
• Fluent in English for technical writing and cross-functional business communication. Local language as needed for shopfloor interaction
• Willingness to work across shopfloor and office environments