Machine Learning Engineer (GenAI / LLM) – Financial Services

Hong Kong, Hong Kong SAR, Hong Kong

Machine Learning Engineer (GenAI / LLM) – Financial Services

Job Description:

About the Role

Working closely with a Senior Engineer and cross-functional teams, you will help build practical Machine Learning and Generative AI applications, turning new ideas into useful solutions for real-world business needs.

This is an exciting opportunity for a hands-on engineer who enjoys solving problems, exploring emerging AI technologies, and taking ownership of technical solutions in a financial services environment.

Key Responsibilities

• Design and develop Python-based Machine Learning and Generative AI applications for banking-related use cases.
• Build and improve LLM-powered solutions, including document processing, information extraction, and Retrieval-Augmented Generation (RAG).
• Explore new AI technologies and propose innovative approaches to improve existing workflows.
• Participate in technical discussions, proof-of-concept development, testing, and solution implementation.
• Work closely with engineers and business stakeholders to understand requirements and translate them into practical AI solutions.
• Help ensure AI applications are reliable, maintainable, and suitable for their intended use.

Requirements

• Degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.

• Around 3–5 years of relevant experience in Machine Learning, AI Engineering, or software development involving AI; candidates with 2+ years of strong hands-on experience are also welcome.

• Proficiency in Python and experience using relevant Python libraries for AI/ML development.

• Practical experience with Generative AI, Large Language Models (LLMs), or Machine Learning applications.

• Experience with RAG, NLP, document processing, or information extraction is an advantage.

• Financial services or banking experience is highly preferred, particularly familiarity with banking workflows.

• Location: Central, Hong Kong (IFC)

• Work Arrangement: Hybrid

Required Skills

• Intelligence

• NLP

• Data

• Development

• AI

• Financial Services

• Artificial Intelligence

• Ownership

• Data Science

• Software Development

• Banking

• Machine Learning

• Computer Science

• Software

• Testing

• Design

• Engineering

• Business

• Science

• Python

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