Lead Machine Learning Engineer For Fraud Ml Ahuntsic

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 production-ready code • Background in classification and deep learning techniques • Proficient in distributed data processing frameworks • Familiarity with ML tools such as Kubeflow or Airflow Lead the development of advanced fraud detection models that enhance security and customer trust at Affirm. Apply on Kit Job: kitjob.ca/job/2q0t2v