Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs;
Precision Subsidies & Intelligent Pricing: Model user demand elasticity across products and coupon values, combined with operations research optimization to solve for optimal budget allocation under strict constraints — maximizing GMV and conversion rate.
Design and develop ML algorithms and intelligent systems for large-scale e-commerce scenarios: recommendation, ranking, retrieval, forecasting, content understanding, pricing, governance, and conversational AI.
Responsible for E2E service design and implementation of key platform projects for CPaaS and IOT, working with key stakeholders to align the architecture, system interfaces and specifications for implementation and support.
Participate in an in-house engineering squad for engineering excellence in design, development and operational of the Singapore Government Commercial Cloud Platform.
Implement Cloud Solutions: Lead the implementation of cloud-based systems, leveraging your knowledge of API and Microservices-based architecture, and proficiency in technologies such as Node.js, Spring boot, Spring Cloud, or Netflix OSS.
Design, build, and maintain a state of the art platform comprising a realtime and historical database, data virtualization layer, realtime messaging, dashboarding tools, and AmiScript, our own custom scripting language.
Maintain and support critical infrastructure platforms, including compute, storage, virtualisation, and supporting systems across development, staging, and production environments.
Design and implement reasonable offline data architecture for large-scale recommendation systems. Design and implement flexible, scalable, and high-performance storage and computing systems
Architect end-to-end solution for business analytics product (dashboards or statistical model) from the acquiring of data, contextualizing data for business analytics and integrating of product with business process
Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines.