Based on Southeast Asia business scenarios and Agent applications, participate in designing AI business implementation scenarios to help improve business efficiency and solve business pain points.
Build scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources, including systems that are on-premise and on cloud platforms.
Provide first-line engineering support for onsite operational issues, including troubleshooting hardware, network, and software problems, and firmware compliance.
Are you ready to step into a world of innovation and global impact? Join our prestigious engineering consulting firm and be part of groundbreaking projects that shape the future of transit around the world!
Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
AI scenarios: Participate in the application of AI in client-side development and core business scenarios, helping build an AI-driven R&D and system capability framework. This includes, but is not limited to, improving development efficiency through AI, such as code generation, workflow-driven development, and business understanding; participating in the design and practice of AI Native / Agentic Commerce capabilities, including interaction models and capability abstractions for agents; exploring and contributing to cutting-edge AI payment capabilities and industry-standard protocols; and promoting intelligent capabilities across payment and financial flows, such as decision intelligence, recommendation intelligence, and experience intelligence, to continuously improve engineering efficiency and business outcomes.
Explore the application and implementation of cutting-edge research such as large language models, graph neural networks, and multimodal techniques in financial risk scenarios.