Kerja Sepenuh Masa, Staff Engineer, Process Engineering (Data Analytics) di Ams OSRAM Pulau Pinang - Maukerja

Job Descriptions

• 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 development 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

Job Requirements

• 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