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Job Type   /   Job Level
Full-time   /   Others/Any
Company Location
Hong Kong
  • Centre of Enablement (CoE) or AI Platform & Operations Hub
  • Hong Kong-based property and hospitality conglomerate


About Our Client

The company is a large organization in the property and hospitality industry, well-regarded for its innovative approach to technology. It is committed to leveraging cutting-edge solutions to enhance operational efficiency and deliver value to its stakeholders.

Job Description

As an AI Engineer, your main responsibilities will include:

  • Designing and developing AI models to address business challenges.
  • Collaborating with cross-functional teams to integrate AI solutions into existing systems.
  • Conducting research and staying updated on the latest AI technologies and trends.
  • Analyzing large datasets to extract meaningful insights and improve decision-making processes.
  • Developing machine learning algorithms to enhance property-related processes and services.
  • Ensuring the scalability and performance of AI implementations.
  • Providing technical support and troubleshooting for AI-driven applications.
  • Documenting AI models and solutions for future reference and team collaboration.


The Successful Applicant

A Successful AI Engineer Should Have

  • A strong educational background in computer science, data science, or a related field.
  • Experience with machine learning frameworks and tools.
  • Excellent analytical and problem-solving skills.
  • A keen interest in applying AI solutions to the property industry.
  • Strong communication skills for collaboration with technical and non-technical teams.
  • Knowledge of data visualization and modeling techniques.


What's on Offer

  • Performance-based bonus package.
  • Comprehensive benefits program.
  • Opportunities to work on cutting-edge AI projects.


This is an excellent opportunity to advance your career as an AI Engineer. If you are ready to make an impact, we encourage you to apply today!

Contact: Coco Chan

Quote job ref: JN-032026-6985023
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