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 adaptable, 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 (Ontario)
🏢 Jobtailor
📍 Ontario