Real-Time Risk ML/Data Engineer

A financial services company in Singapore is seeking a Data / Machine Learning Engineer to build data and machine learning infrastructure for Credit Risk systems. The role involves deploying models for real-time decision systems and maintaining data pipelines. Ideal candidates will have a Bachelor's degree and over 3 years of experience in data engineering or ML engineering, with strong programming skills in Python and a robust understanding of data processing frameworks. This position offers an opportunity to collaborate deeply with various teams on innovative projects.
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