As an MLOps & AI Infrastructure Technical Referent at dLocal, you will be the senior technical reference for how we build, operate and evolve our ML and AI infrastructure.
Your mission is to enable Data Science and AI teams to take models and AI-powered services from idea to production in a reliable, observable and compliant way. You will own the technical direction of our MLOps stack, introduce AI safely into our engineering workflows, and help the team scale its impact as usage and complexity grow.
A core part of this role is to use agents and AI services to automate as much as possible of what we do in MLOps — from feature store and platform operations to fraud/anomaly workflows and ML cost optimization — working side by side with the AI team.
This is a hands-on architecture and leadership role: you won’t own product models yourself, but you will deeply influence how every model and AI component is trained, deployed, monitored and run in production.