Director of MLOps at Manulife leading AI deployments and scalable solutions in Canada. Architecting MLOps capabilities to ensure governance and reusable AI solutions across segments.
About the role
- Manager of Machine Learning Engineering leading a team at Affirm to enhance fraud detection models. Collaborating cross-functionally to integrate high-impact ML solutions into decisioning systems.
Responsibilities
- Set the technical and modeling strategy for fraud detection, aligning team efforts with key business outcomes such as fraud loss reduction, approval rates, and customer experience
- Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models across the full ML lifecycle, from experimentation to production
- Drive the evolution of modeling approaches, including the adoption of representation learning, transformer-based methods, and other advanced techniques for modeling complex behavioral data
- Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions, evaluate trade-offs, and ensure models are effectively integrated into decisioning systems
- Develop talent by coaching engineers, providing feedback, and fostering a high-performing team culture grounded in technical excellence and ownership
Requirements
- Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers
- Experience with modern ML approaches, including representation learning, deep learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees
- Proven ability to lead teams delivering end-to-end ML solutions in production environments, including experimentation, evaluation, and model iteration in production
- Strong engineering fundamentals and experience working with scalable systems and data pipelines
- Track record of effective cross-functional collaboration with product, analytics, and engineering partners
- Ability to operate in ambiguous, fast-evolving environments and drive clarity, prioritization, and execution
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Benefits
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
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