People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 80+ million customers get more from their money every day.About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 80+ million customers get more from their money every day.As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 15,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.We’re looking for a Senior AI Platform Engineer to focus on serverless model training and inference.As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our data scientists and engineers to solve tomorrow's challenges today.Up to shape what's next in finance? Let's get in touch.What You'll Be DoingDesigning and building self-service platforms for model training, distributed training,



and inference on shared GPU infrastructureDeveloping APIs, SDKs, and workflows that automate workload submission, infrastructure provisioning, and executionBuilding orchestration and distributed execution capabilities using Flyte, Ray, or equivalent technologiesImplementing workload scheduling, queueing, resource allocation, and autoscaling across Kubernetes-based GPU environmentsBuilding reliable workload lifecycle management, including checkpointing, retries, failure recovery, and cancellationEstablishing monitoring, multi-tenant isolation, and cost visibility to improve platform reliability and GPU utilisationWhat You'll NeedImpressive Python engineering skills, and a track record of designing, building, and operating scalable backend platforms in productionExperience building or extending ML platforms for training or inference on GPU infrastructureExpertise with Kubernetes, containerised workloads, and cloud infrastructureFamiliarity with workflow orchestration and distributed execution frameworks, such as Flyte, Ray, or equivalent technologiesAn understanding of distributed training, GPU resource allocation, workload scheduling, and autoscalingExperience designing reliable distributed systems with fault tolerance, observability, and operational ownershipA degree in a STEM subject or equivalent practical experience, with solid computer science fundamentals and software engineering practicesBuilding a general financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.#J-18808-Ljbffr

📌 Ai Platform Engineer (Serverless Training And Inference) (Madrid)
🏢 Revolut
📍 Madrid