WeChat ID: SVARecruitment

AI/Machine Learning Engineer – Cross-Border B2B Fintech Payments Solutions Provider MNC – 540K+ HKD Annual

Machine Learning Engineers

Ref: 910Wednesday 8 October 2025

Company Summary

  • Our client is a global financial technology firm specializing in B2B cross-border payments, FX solutions, and international trade support.
  • Provides cutting-edge services such as multi-currency global payments, corporate FX risk management, international collections, and trade settlement infrastructure.
  • One of the pioneers and leaders in their specialized industry. Recently was recognized its innovation in scalable global payment infrastructure.
  • Established in 2016 with a team of about 125 employees globally. Offices across Hong Kong, Australia, and India with HQ in Hong Kong.   

 

Job Description

  • After a very successful 2024, looking for a new AI/ML Engineer to join their team in Hong Kong.
  • Work directly with the CTO on high-impact, payment-related AI/ML projects
  • Design, develop, and deploy machine learning and deep learning models
  • Analyze large datasets to extract insights and inform model development
  • Prototype, benchmark, and iterate on AI solutions
  • Integrate AI models into product systems and monitor performance
  • Document workflows and present findings to technical and non-technical stakeholders
  • Collaborate with a large engineering team in India

 

Key Candidate Criteria

  • Bachelor’s degree in Computer Science, Mathematics, Data Science, or any relevant field
  • Strong programming skills in Python, R, Java, or Scala
  • Experience with ML libraries: TensorFlow, PyTorch, Keras, scikit-learn
  • Familiarity with NLP and Semantic Kernel; preferably with LLM experience
  • Ability to deploy models via AWS SageMaker or Lambda
  • Fluent in English

 

Office

  • Hong Kong / China

 

Salary

  • 40K-45K HKD per month
  • Commission & Bonus
  • Medical & Other Benefits
  • Generous Annual Leave
  • Incentivize Trips
  • Annual Salary Review & Increase

 

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