Staff Engineer, Process Engineering (Data Analytics)
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Summary
Staff engineer at semiconductor maker ams OSRAM (Bayan Lepas, Penang, Malaysia) who builds and deploys AI/ML and physics-based models for manufacturing process analytics: end-to-end data pipelines, containerized edge/on-prem inference, model drift monitoring, and integration with machines and MES over industrial protocols.
- 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