Algorithmic Innovation: Spearhead research into optimal quantization methodologies for advanced low-precision data formats, driving the strategic adoption and expansion of our low-precision computing ecosystem to secure a competitive edge in numerical computing.
Commercial strategy and growth: Identify new business opportunities, develop market-entry and expansion approaches, and establish priorities that support revenue growth.
Architect Systems: Lead the technical design for major enterprise AI deployments. Ensure the solutions can scale, remain secure, and adhere to strict partner compliance requirements.
AI Orchestration & Workflow Automation: Design, test, and implement advanced AI prompts and multi-step automated workflows (using Clay, Zapier, OpenAI APIs) to automate manual research, scale lead generation, and continuously find time-saving efficiencies for the broader marketing team.
Drive business development: Identify, develop and convert new business opportunities across IT services, digital transformation, AI-enabled solutions and related technology offerings.
Conduct applied research in computer vision and multimodal learning, with a focus on developing novel algorithms, improving model accuracy and robustness, and reducing computational and inference overhead.
(For Research Associate) Demonstrate intellectual and research independence in identifying, shaping and advancing strategic research directions in AI for advancing NTU’s signature pedagogy.