- Bureau à São Paulo
Who we are
CloudWalk is a fintech company reimagining the future of financial services. We are building intelligent infrastructure powered by AI, blockchain, and thoughtful design. Our products serve millions of entrepreneurs across Brazil and the US every day, helping them grow with tools that are fast, fair, and built for how business actually works. Learn more atcloudwalk.io.
Who We’re Looking For
We're looking for an MLOps Engineer to help us build ML infrastructure that scales dynamically from dozens to thousands of GPUs, reliably and efficiently.
You’ll be part of the AI R&D team, working closely with researchers and engineers to design systems for training, evaluating, and monitoring machine learning models at scale. This isn’t a research position, but your work will directly support researchers running large-scale experiments. You’ll help build fault-tolerant pipelines that preserve progress even when things break (like OOMs), and ensure model development flows can iterate with confidence.
Our current focus is on large-scale, non-interactive workloads: batch training, dataset-wide model evaluation, and metric-driven improvement loops. That said, the infrastructure you build may later support interactive tools and APIs.
You'll be contributing to system design under the guidance of senior ML researchers and infra engineers, your role is to bring modern tooling and practical engineering to a demanding, GPU-heavy environment.As a Machine Learning Engineer, your mission is to design and deploy intelligent systems that power core product experiences. You'll transform rich data into models that drive automation, personalization, and smart decision-making at scale. This role blends engineering and applied science, focused on building robust, adaptive ML systems that evolve continuously and make a tangible impact.
