Design, build, and validate ML/DL models across diverse domains(computer vision, NLP, predictive analytics, anomaly detection)
Oversee and drive the full model lifecycle: problem framing, data engineering, experimentation, evaluation, and deployment — collaborating with engineers and analysts for implementation
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Design, build, and validate ML/DL models across diverse domains(computer vision, NLP, predictive analytics, anomaly detection)
Oversee and drive the full model lifecycle: problem framing, data engineering, experimentation, evaluation, and deployment — collaborating with engineers and analysts for implementation
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Support PTE section head in driving performance deliverables mainly Quality, Productivity and Speed which ultimately contribute to department and Melaka site targets.
Customise scripts (through the development of modules that can be replicated in different use-cases) and automation features on existing data analytics tools to improve efficiency
Develop auto anomaly detection tool based on statistical methodology. Automate KPI dashboard & data analysis, manage large production data-sets and provides data analysis to improve manufacturing success rates (yield, quality).
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Carry out Master Data Applications and Interfaces programming tasks. Master Data application landscape varies from C#, PL/SQL to SAP based applications
Receive and handling of Remedy HD (Helpdesk) Incidents and CR (Change Request) Tickets. Remedy serves as the central Infineon IT ticketing platform
Performing applications CRs (Change Request) from Application Owner on monthly basis. CRs implementation will be prioritize according to urgency
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