Coordinate and execute assigned global and regional Learning & Development operational activities accurately and on time according to defined work instructions, SLAs and quality standards
Deep Learning Model Implementation & Product Development Ownership: Build, train, evaluate, and maintain CNN/U-Net/ViT models for automated inspection and measurement. Own model performance end-to-end — ablation studies, confidence calibration, product development performance monitoring.
Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions.
Deep Learning Systems Architecture & Ownership : Design and own CNN, U-Net, and ViT systems for precision inspection, measurement, and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility.
Design, develop, test, and deploy Python-based applications that automate research, synthesize competitive and market intelligence, and support strategic analysis and communication.
Coordinate end-to-end execution of leadership and functional development programmes under the Corporate Academy, including scheduling, nominations, programme logistics, and session readiness
You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
Working with the Industry and Risk Marketing team to identify Category 2 industry sector events across the region that need support in organising events
Project Leadership & Delivery: Lead the team and manage the end-to-end delivery of a key learning content development project, ensuring it meets client requirements, deadlines, and quality standards.