Support vendor-managed projects and assessment of AI, Data (Big Data included) models to meet business requirements, in areas such as NLP, computer vision, chatbots and Large Language Models (LLM).
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.
Build and enhance the broadcaster operation platform capabilities for LIVE scenarios, including but not limited to broadcaster center, performance review and diagnosis, fan engagement, promotion tools, and content optimization. Diagnose business status, identify critical pain points, and develop differentiated solutions.
The Senior Business Analyst, AI Transformation Programme is responsible for the programme governance, dashboarding and grant-tracking activities that keep the AI Hub's fund programme on track: translating grant conditions and milestones into structured programme plans, building and maintaining dashboards for budget and milestone tracking, coordinating data inputs from BU finance and operations teams, and supporting vendor onboarding and compliance reporting.
Translate grant conditions, milestones and deliverables into a structured programme tracking framework (plans, RAID logs, milestone trackers) for the AI Hub.
Act as the expert for the relevant data domain(s) and primary contact person for divisions and functional units, driving continuous process improvement in this key-contact role.
Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
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.