Job Description
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 workflows
Requirements:
• Minimum 6 years of experience with ML models
• Expertise in Python for writing p...
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 workflows
Requirements:
• Minimum 6 years of experience with ML models
• Expertise in Python for writing p...