Act as a strong problem solver, able to assess issues from multiple perspectives, challenge the status quo, and collaborate with specialist teams (e.g. security, compliance, testing, vendors) to resolve complex technical and delivery challenges.
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.
Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Work directly with customers to understand their business, uncover the real problem behind a request, and turn it into a product that creates measurable value.
Translate client requirements into scalable, maintainable technical solutions. Make informed architectural and technology decisions, balancing business goals, existing systems, technical constraints, budgets, and delivery timelines.
Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.