Build Machine Learning models to respond to and mitigate risks in Global Payments products; Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups; Up-level risk machine learning excellence on privacy/compliance, interoperability, risk perception, and analysis
Requirements:
Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors; Proficient in Python, Java, or Scala and big data tools such as SQL/Hive/Spark; Experienced in Machine Learning and Deep Learning models; 4+ years of machine learning-related experience, preferably in trust&safety/risk management
Text:
Senior Machine Learning Engineer, Global Payments Risk Control Build Machine Learning models to respond to and mitigate risks in Global Payments products; Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups; Up-level risk machine learning excellence on privacy/compliance, interoperability, risk perception, and analysis Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors; Proficient in Python, Java, or Scala and big data tools such as SQL/Hive/Spark; Experienced in Machine Learning and Deep Learning models; 4+ years of machine learning-related experience, preferably in trust&safety/risk management
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