Staff Engineer, Process Engineering (Data Analytics)

• 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

What we look for

• 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

Please contact Muhammad Hafizuddin Mohamed Anuar for further information via [email protected] or +60 (4) 3053141.