Responsibilities

• Data Analysis and Statistical Modeling: Extract valuable insights from large-scale datasets, apply data science methods for statistical analysis and modeling, and transform complex analytical results into clear, actionable visualizations and recommendations to support business decision-making, forecasting, and process optimization.
• AI-Driven Initiatives: Lead the design, development, and deployment of LLMs applications/agentic models, collaborating closely with business and technical teams to implement AI solutions that enhance team efficiency and capabilities.
• Prompt Engineering and Model Optimization: Utilize prompt engineering, model selection, hyperparameter tuning, model fine-tuning, data retrieval, and coding to develop key product features. Optimize LLM performance to ensure efficient application in business scenarios.
• Cross-Functional Collaboration: Work closely with global business and technical teams to gather and analyze requirements, delivering AI and data-driven solutions aligned with strategic objectives.

Requirements

• Over 5 years of work experience in data analysis, data science, or related fields.
• Strong programming skills in Python/SQL; proficiency with AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
• Deep understanding of LLMs with practical experience, proficient in using tools like Dify, n8n, or Coze to develop LLM agents. Experience with RAG or model fine-tuning for planning-related tasks.
• Fluent in English and Chinese, capable of seamlessly switching languages in technical and business discussions.
• Exceptional independent analytical and problem-solving skills, with the ability to deeply understand business pain points and collaborate with technical teams to address complex challenges in LLM application and optimization.