Lead the design and implementation of large-scale, production-grade distributed systems powering AI features for millions of daily users Own architecture decisions to keep systems versatile, cost-effective, and robust Direct distributed-systems strategy Manage technical debt across the AI Products estate Champion engineering excellence across the AI Products team Mentor junior engineers Collaborate across Xero to enhance data usability Partner with Applied Scientists to build interfaces and harnesses that transition models from research into production Design and build scalable distributed production infrastructure for generative AI features Use Python, SQL, Spark, or Dask to handle web-scale data workloads Deploy systems to AWS and Kubernetes Integrate production-ready Large Language Model technologies into product features Reduce toil and deliver data-driven insights for small businesses Requirements 5+ years building and operating production Python (or equivalent language) services at scale Strong system design and coding proficiency Track record of owning services or pipelines in production Operational/on-call responsibility and incident response experience #J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Toronto)
🏢 Jobtailor
📍 Toronto