Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
Strong independent coding capability. While we encourage using AI tools for productivity, you must be able to write, evaluate and troubleshoot code autonomously rather than relying on AI to generate solutions
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
AI Incubation & 0-to-1 Architecture: Lead the charter, design, and prototyping of cutting-edge Agentic AI workflows, Human-in-the-Loop (HITL) platforms (e.g., Gemini-powered automated reporting), and autonomous decision engines from concept validation to scalable enterprise deployment.
Design, build and own the IAM API & Integration Layer. It sits in front of GIC’s IAM products and exposes them through consistent, versioned APIs that don’t depend on any one product.
Execute the roadmap for AI applications spanning guest experience, staff productivity, and corporate process augmentation, including conversational assistants, retrieval-augmented generation systems, and purpose-built AI tools.
Full-Stack Engineering: Architect, build, and deploy production-ready web platforms and web APIs using modern JavaScript/TypeScript and Python frameworks.
Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.
Actively contribute to the development and growth of the journal by providing valuable scholarly input, including the selection of topics, reviewers, and authors.
Design, build and own the IAM API & Integration Layer. It sits in front of GIC’s IAM products and exposes them through consistent, versioned APIs that don’t depend on any one product.