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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.