Review drawings and specifications of a particular product and the plan production process.
Analyse machine’s operation time or downtime, identify trends and develop solutions
Produces machined parts by setting up and write CAM program, which includes generating CAM and machining process according to the decision made in the part review and simulate the process to ensure the manufacturing processes are suitable and safe.
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Production Deployment: Transition models from local environments (Jupyter/Python) into the factory’s execution system using Docker and REST APIs .
Process Optimization: Use regression and reinforcement learning to suggest optimal machine parameters (e.g., bond force, temperature profiles) for new product introductions (NPI).
Data Engineering: Build and manage data pipelines that ingest high-frequency sensor data from packaging equipment (e.g., Die Attach, Wire Bonders) via SECS/GEM or MQTT protocols. A/B Testing & Monitoring: Design experiments to validate model performance on the shop floor and monitor for "model drift" as machine parts wear down over time. Required Technical Skills
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