Become a Lead Machine Learning Engineer with Affirm's Fraud ML team, specializing in real-time fraud prevention systems. This remote position in Canada offers impactful challenges.As part of Affirm, you'll leverage your 6+ years of experience to construct and optimize machine learning models focused on fraud detection. Collaboratively engage with various teams to convert ideas into prototypes and production-ready solutions while improving operational efficiencies. Your leadership will help define best practices in model development amid evolving fraud patterns.Key Responsibilities: • Spearhead the creation of fraud detection models • Construct and scale feature pipelines using diverse data • Drive the deployment of high-performing modeling solutions • Monitor systems for reliability and operational integrity • Streamline model building processes and workflowsRequirements: • Minimum 6 years of experience with ML models • Expertise in Python for writing production-ready code • Background in classification and deep learning techniques • Proficient in distributed data processing frameworks • Familiarity with ML tools such as Kubeflow or AirflowLead the development of advanced fraud detection models that enhance security and customer trust at Affirm. #J-18808-Ljbffr
Lead Machine Learning Engineer For Fraud Ml
AFFIRM
hamilton, hamilton
Published 26 days ago
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