Coordinatelogistics for training sessions, including booking venues, scheduling dates,and ensuring resources (e.g., trainers, equipment) are available.
Design and own the evaluation system for LLM Agents, including benchmark construction, LLM-as-Judge with human annotation, and regression/comparison pipelines. Continuously monitor product metrics to guide Agent and model optimization.
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.
Engage in forward-looking exploration and research of foundational AI technologies, including but not limited to large model pre-training and post-training paradigm innovation exploration, architecture design for multimodal understanding and generative models, next-generation foundational architectures (e.g., Transformer-next), and acceleration of large-scale model training and inference.
Own and drive the computer vision codebase. Take full technical ownership of the pipeline, its architecture, its quality and its direction, with the freedom to make the critical calls.
Opportunity to work in a renowned MNC in Semiconductor, and this role will partner with business leaders and HR teams to support workforce planning, job architecture, capability development, and change initiatives.
Drive Real Impact: Lead an assigned project from inception to completion, applying your technical and analytical skills to solve a tangible business challenge (e.g., optimizing rider routing, scaling vendor acquisition).
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.