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General Information

Province
Shanghai
City
Shanghai
Business Unit
Regional Headquarters
Job Type
Experienced Hire
Job Function
Digital Technology
Ref #
20134456

Description & Requirements

Responsibilities
 • Lead and contribute to predictive modeling projects, including data quality verification, exploratory data analysis, rule engine development, model training, and performance optimization.
 • Explore and apply generative AI technologies, including multimodal large models and large language models (LLMs), to solve real-world problems such as compliance assessment and failure mode classification.
 • Design and implement data reporting solutions tailored to operational and site-specific business requirements.
 • Collaborate cross-functionally with QA, business stakeholders, and engineering teams to ensure timely and high-quality delivery.
 • Document development processes and design decisions in English, and maintain version control using Git.

Experience / Qualifications
 • Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, or related field.
 • Minimum 5 years of experience in data science, machine learning, or AI-related roles.
 • Proficient in Python and Spark, with hands-on experience in libraries such as Pandas, Scikit-learn, PySpark, and Spark MLlib.
 • Experience with Databricks for managing ML experiments, building LLM services, and performing model fine-tuning.
 • Solid understanding of statistical analysis, feature engineering, and prompt engineering.
 • Familiar with Python unit testing frameworks such as Pytest and UnitTest.
 • Strong SQL skills and understanding of database performance optimization.
 • Experience with Web APIs, with attention to performance and security.
 • Familiar with Git for branch and version control. • Excellent communication skills and ability to write and read English technical documentation.
 • Experience contributing to open-source projects or participating in community discussions is a plus.
 • Knowledge of Azure Cloud is preferred.