AI Data Engineer: ML & Analytics for Finance

Michael Page International (HK) Ltd

Hong Kong

On-site

HKD 450,000 - 650,000

Full time

2 days ago
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Job summary

Michael Page International (HK) Ltd is seeking an AI Data Engineer in Hong Kong. The role focuses on analyzing large datasets, building and maintaining machine learning models, and partnering with cross-functional teams to define data requirements and deliver actionable insights.

The candidate should have a strong data science background and 2+ years in ML/AI engineering. The position offers exposure to AI-driven solutions within a global financial services environment and opportunities to

Qualifications

  • Strong background in data science or computer science.
  • Min. 2 years of experience in Machine Learning/ AI Engineering.
  • Proficiency in Python, R, or SQL.
  • Experience with ML frameworks and tools.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Analyze large datasets to identify trends and actionable insights.
  • Develop and maintain ML models to support business objectives.
  • Collaborate with cross-functional teams to define data requirements and goals.
  • Generate reports and visualizations to communicate findings to stakeholders.
  • Ensure data accuracy through thorough validation processes.
  • Support AI-driven solutions across departments.
  • Stay updated on AI and data analytics trends and best practices.

Skills

Python
R
SQL
ML/AI
Data analysis

Education

Bachelor's in Data Science/CS

Tools

TensorFlow
PyTorch
scikit-learn

Job description

Michael Page International (HK) Ltd is seeking an AI Data Engineer in Hong Kong. The role focuses on analyzing large datasets, building and maintaining machine learning models, and partnering with cross-functional teams to define data requirements and deliver actionable insights.

The candidate should have a strong data science background and 2+ years in ML/AI engineering. The position offers exposure to AI-driven solutions within a global financial services environment and opportunities to

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