
AI/Data Developer (Open to Fresh Graduates)
- Hong Kong
- Permanent
- Full-time
- GenAI Model Development: Design, train, and deploy Generative AI models (e.g., LLMs, GANs, VAEs) for applications such as automated content generation, fraud detection, customer insights, or financial forecasting.
- Data Pipeline Construction: Build and maintain robust, scalable data pipelines for data ingestion, processing, and storage to support GenAI model training and deployment.
- Data Analysis: Conduct exploratory data analysis to identify patterns and insights that enhance GenAI model performance and align with business objectives.
- Collaboration: Partner with data scientists, software engineers, and business stakeholders to integrate GenAI solutions into production systems within the financial domain.
- Optimization: Optimize GenAI models and data pipelines for performance, scalability, and cost-efficiency, ensuring compliance with financial industry standards.
- Monitoring & Maintenance: Implement monitoring tools to track model performance, data quality, and system reliability; iterate on solutions to address issues and improve outcomes.
- Documentation: Create comprehensive documentation for code, models, and pipelines to ensure maintainability and compliance with regulatory requirements.
- Innovation: Stay abreast of the latest advancements in Generative AI and financial technology to propose innovative solutions that drive business value.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
- Familiarity with Generative AI technologies through coursework, projects, or self-study is highly desirable.
- Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers).
- Basic knowledge of data engineering tools (e.g., SQL, Pandas, or Apache Spark) and databases (e.g., SQL, NoSQL).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus but not required.
- Understanding of containerization tools (e.g., Docker) is an advantage.
- Passionate in new technologies
- Proficiency in English and Cantonese