Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
Collect large sets of structured and unstructured data from independent sources clean, validate, and transform data to ensure accuracy, completeness, and uniformity
Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features
Knowledge & Competencies:
Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
Good knowledge of Python familiarity with C/C++ is a plus
Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
Self-driven, innovative, and collaborative, with strong communication and presentation skills able to bridge business and technical audiences
Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.
