Machine Learning Engineer - E‑Commerce Risk & Security

Pangleglobal; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Pangleglobal is seeking a data-driven professional to join our Machine Learning team in Singapore. You will build models and risk-focused ML solutions to support our ecommerce safety initiatives and production systems.

The role emphasizes hands-on data science with SQL, Python and R, strong analytical thinking, and the ability to translate business needs into scalable algorithms within a fast-paced environment.

Qualifications

• Bachelor or higher degrees in computer science, statistics, math, internet security or other relevant STEM majors.
• Solid hands-on data science skills. Proficiency in SQL, R and Python.

Responsibilities

• Build rules, algorithms and machine learning models to respond to and mitigate business risks in our products/platforms.
• Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions.
• Define risk control measurements. Quantify, generalize and monitor risk-related business and operational metrics.
• Support the production of scalable and optimised AI/ML models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models and identify and resolve bugs that arise in the process.

Skills

SQL

Python

R

Education

Bachelor's degree or higher in CS/Statistics/Math/Internet Security

Job description

Pangleglobal is seeking a data-driven professional to join our Machine Learning team in Singapore. You will build models and risk-focused ML solutions to support our ecommerce safety initiatives and production systems.

The role emphasizes hands-on data science with SQL, Python and R, strong analytical thinking, and the ability to translate business needs into scalable algorithms within a fast-paced environment.