Design, develop, and evaluate Agentic AI and multi-agent architectures for task decomposition, planning, reasoning, coordination, and workflow orchestration within the Digital ATCO Assistant project.
Build assistive animation tooling, drawing on motion synthesis, motion matching/blending, retargeting, and physics-based character control, to remove mechanical steps from the animator’s workflow.
Develop and deploy data‑driven solutions using manufacturing data (e.g., machine data, quality data, MES/SCADA data) for manufacturing performance improvement
Work closely with trainers to design and enhance Academy’s training programmes in research methods, data quality and designing communications and engagements in the Singapore Public Service.
Design, develop, and evaluate Agentic AI and multi-agent architectures for task decomposition, planning, reasoning, coordination, and workflow orchestration within the Digital ATCO Assistant project.
Currently pursuing a bachelor’s degree or diploma in Human Resources, Hospitality, Business Administration, Learning & Development, Communications, or a related field
Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
Act as the primary Learning Partner for assigned business segments, building trusted relationships with O&P Business Partners, department leaders and key stakeholders to understand strategic priorities, workforce shifts and capability implications.
Manage the day‑to‑day implementation and operations of supported employment initiatives, ensuring activities align with organisational goals and intended employment outcomes.
Develop and execute the annual Cluster Learning & Development Strategy aligned with business goals, Conrad Brand Standards, and Hilton's global learning framework.
Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
Design and develop ML algorithms and intelligent systems for large-scale e-commerce scenarios: recommendation, ranking, retrieval, forecasting, content understanding, pricing, governance, and conversational AI.