Support migration and transformation readiness by managing legacy clean-up, new configuration setup and end-to-end checks across plan, promo, price and content reflections.
Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
Candidates should possess familiarity with digital tools and platforms, such as ecommerce marketplaces, order management systems, and basic web analytics.
Coordination & monitoring of the UATs (User Acceptance Tests) to run prior to go live to check the proper system integration between the Ecommerce Front End, the Order Management System (OMS), the Warehouse Management System (WMS), the financial system (ERP) & our carriers, guaranteeing readiness for Go live
Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
Analyze the local e-commerce market and align with the Group's category development strategy to establish a multi-brand, multi-category, and multi-channel store portfolio that drives sales and strengthens brand and category growth.