Data Scientist / Machine Learning Lead

Key Responsibilities

Create Impact: Build ML-powered systems that transform banking operations at scale.

Architect & Deploy: Design and deliver secure, high-performance solutions on GCP, with exposure to AWS, Azure, or Alibaba Cloud as a plus.

Bridge the Gap: Translate complex business needs into robust technical designs through close collaboration with stakeholders.

Lead & Inspire: Mentor an agile team, set engineering standards, and champion best practices in ML and backend development.

Requirements

6–8 years of experience in Machine Learning and backend software engineering , with strong hands‑on skills in Python, APIs, and modern backend frameworks.

Language Model Expertise (Preferred) : Experience building, fine‑tuning, or deploying LLMs for production use. Familiarity with frameworks and tools such as Hugging Face Transformers, LangChain, LangGraph, PyTorch, TensorFlow, and OpenAI APIs .

Proven track record in cloud deployment on GCP , with large‑scale financial project experience (highly preferred).

Bachelor’s degree in Data Science, Machine Learning, Computer Science, or related field.

Demonstrated leadership in agile environments, with exceptional communication skills to influence and align stakeholders.

Fluent in Cantonese & English for seamless collaboration across teams and regions.

Application Questions

Your application will include the following questions:

• Which of the following statements best describes your right to work in Hong Kong?
• Which of the following programming languages are you experienced in?
• What's your expected monthly basic salary?
• How many years’ experience do you have as a Machine Learning Lead?

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