Machine Learning Engineer

Hong Kong Permanent HK$40,000 - HK$45,000 per month (HK$480,000 - HK$540,000 per year)
  • Large-scale Retail Enterprise
  • Experience in Python, MLOps, GCP

About Our Client

Our client is a large-scale retail enterprise in Hong Kong.

The selected candidate will be responsible for developing and implementing the machine learning pipelines on the Cloud platform. Assist the team with multiple data science projects, automate the machine learning process, and monitor and analyse the model performance.

Job Description

  • Developing and implementing the machine learning pipelines on the Cloud platform
  • Automate, monitor and optimize machine learning models performance
  • Collaborate with engineers and other stakeholders to ensure that optimization models
  • Apply machine learning to predict market trends, and consumer demand, and improve the marketing strategies

The Successful Applicant

  • Bachelor's degree in Information Technology, Computer Science, Data Science or other related disciplines
  • At least 2-3 years of relevant experience in Machine Learning
  • Hands-on with Python programming
  • Hands-on with MLOps (Machine learning models automation and monitoring)
  • Experience and knowledge with Google Cloud Platform is a plus
  • Expert in data engineering, data modelling, data stitching and database development
  • Team player with good communication and problem-solving
  • Strong communication skills in both Chinese and English

What's on Offer

Our client offers attractive compensation with a sustainable career path to the candidate.

Julee Thapa
Quote job ref
Phone number
+852 2848 4746

Job summary

IT Data Analysis
Hong Kong
Job Type:
Consultant name
Julee Thapa
Consultant phone
+852 2848 4746
Job Reference

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.