Global Retailer - Machine Learning Engineer

Your New Company Our client, a global retailer, is seeking a Machine Learning Engineer to join their dynamic team. This is an excellent opportunity to work on cutting-edge projects, leveraging your expertise in Python, API frameworks, and data manipulation to deliver impactful solutions in domains like retail, logistics, and supply chain. Your New Role Develop production-grade Python code with a focus on performance and maintainability. Design and implement scalable Python APIs using frameworks

Hays - Hong Kong - Full time

Salary: Competitive

Your New Company

Our client, a global retailer, is seeking a Machine Learning Engineer to join their dynamic team. This is an excellent opportunity to work on cutting-edge projects, leveraging your expertise in Python, API frameworks, and data manipulation to deliver impactful solutions in domains like retail, logistics, and supply chain.

Your New Role
  • Develop production-grade Python code with a focus on performance and maintainability.
  • Design and implement scalable Python APIs using frameworks like Flask or FastAPI.
  • Deploy applications with production-grade tools like Gunicorn and Docker.
  • Build and maintain CI/CD pipelines with Git Actions and orchestration tools.
  • Work with structured data using Python (Numpy, Pandas) and relational databases (Postgres, MySQL).
  • Conduct robust testing (unit, integration, performance, and stress tests).


What You'll Need to Succeed

  • Strong Python skills (4+ years) and experience with production-grade code.
  • Hands-on experience with Python API frameworks, deployment, and Docker.
  • Proficiency in CI/CD pipelines and orchestration platforms like Jenkins or Airflow.
  • Solid understanding of structured data manipulation and relational databases.
  • Basic knowledge of machine learning principles and model lifecycle.
  • Familiarity with monitoring tools (Grafana, ELK, MLflow) and system design.

What You Need to Do Now
Click 'apply now' to forward an up-to-date copy of your CV to cherry.ho@hays.com.hk or call +85222307493 for a confidential discussion.
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