Integrity: Maintain high standards of data accuracy and ensure that spatial datasets are organized and accessible for internal stakeholders.
Python Development: Write and maintain Python scripts to streamline data extraction, imagery processing, and task automation.
AI Integration: Assist in testing and implementing AI-driven tools (e.g., object detection algorithms) to improve the efficiency of plantation monitoring.
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Lead product/software quality strategy across NPI, sustaining engineering, customer issues and improvement projects with internal & external stakeholders.
Participate in design, code, verification and validation reviews to identify risks and ensure quality requirements are met.
Drive CTQ, APQP, DFSS, DfR and FMEA activities to strengthen product and process robustness.
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Lead product/software quality strategy across NPI, sustaining engineering, customer issues and improvement projects with internal & external stakeholders.
Participate in design, code, verification and validation reviews to identify risks and ensure quality requirements are met.
Drive CTQ, APQP, DFSS, DfR and FMEA activities to strengthen product and process robustness.
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Project Management & Coordination: Support project planning, execution, and stakeholder coordination for digital transformation projects, ensuring timely delivery and alignment with business objectives.
Communication & Knowledge Transfer: Develop and present project updates, findings, and recommendations to engineering teams and management review platforms, and facilitate user training and knowledge transfer to drive successful solution adoption.
Applied Digital Experience: Acquire practical experience in leveraging data analytics, AI, and digitalization technologies to address complex manufacturing and operational challenges.
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