Create AI-generated visual assets by crafting prompts and refining outputs for projects, ranging from storyboards, concept art, motion graphics, and visual effects to fully AI-generated or hybrid creative assets.
Lead the Data, Analytics and AI Section to turn Air Selangor’s strategic priorities, regulatory needs and critical business problems into deployed solutions with sustained adoption and measurable outcomes. Lead through the Heads of Data, Science and Data Engineering, working with business owners and partners as part of an integrated Information Technology Department.
Lead the design, development, and deployment of AI/ML solutions, including LLMs, Agentic AI workflows, and Retrieval-Augmented Generation (RAG) applications.
Design, implement and maintain the AI governance framework, policies and standards, aligned to the organisation’s risk appetite and wider risk and control environment
Area A — Scientific ML & PINNs Methodology Origination: Originate and advance PINNs methodology — design physics-constrained loss function architectures, validate digital twin ML components against domain physics (with storage domain expert), and deliver validated prototypes with complete technical documentation to implement. As the sole PINNs methodology originator on the team — this capability cannot be delegated or substituted.
Team leadership: Lead, coach and develop AI engineers, and set priorities and allocate work. Establish standards for solution design, testing, documentation and code review, and promote responsible use of AI-assisted development tools.