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
edmonton, edmonton
Published 25 days ago
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