Affirm Remote Machine Learning Engineer II (Saskatchewan)

Contribute to fraud prevention as a Machine Learning Engineer II with Affirm in a flexible remote setting. Your role centers on safeguarding transactions through advanced machine learning models. This position calls for candidates with over 2 years experience or a PhD in a relevant field. You will utilize strong Python skills and frameworks to develop innovative solutions for real-time fraud detection. Collaboration across various teams will be essential to keep models robust and responsive as fraud dynamics evolve. Key Responsibilities: - Create and refine fraud detection models - Design feature pipelines utilizing diverse data signals - Translate new modeling concepts into production - Oversee health monitoring of models and data - Collaborate with cross-functional teams for clarity Requirements: - Minimum 2 years in machine learning engineering - Expertise in Python and production-grade code - Solid experience with tabular classification models - Knowledgeable in deep learning frameworks - Familiar with machine learning lifecycle platforms Drive innovation in machine learning with Affirm, ensuring secure and user-friendly credit solutions. Apply on Kit Job: kitjob.ca/job/2psm50