Machine Learning Engineer
Visa · Stockholm, Sweden
Full-time Posted 4 days ago
About this role
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world
Progress starts with you. Job Description The Opportunity We are looking for talented, curious, and impact‑driven Machine Learning Engineers who enjoy solving complex problems using a combination of software engineering, data engineering, and applied machine learning. As part of a cross‑functional product team, you will design, build, deploy, and operate ML solutions that directly support Visa’s core payment platforms and value‑added services
Your work will move beyond experimentation into real‑world production systems that must meet strict requirements for reliability, performance, security, and compliance. The Work Itself Design, build, and operate production‑grade machine learning systems that run at Visa’s global scale for NLP and related workloads with strict latency and throughput targets (e.g. 50k-100k+ tokens/sec @ 100+ RPS)
Develop end‑to‑end ML pipelines covering data preparation, model training, validation, deployment, monitoring, and retraining. Build and maintain high-availability, fault-tolerant ML services and APIs, including load balancing and robust autoscaling for GPU inference. Design and implement advanced agentic AI systems: RAG pipelines, multi-step and branching agents, actor–critic control loops, validation/guardrail stages, and custom tools
Work closely with product, data, and platform teams to turn requirements into concrete ML system designs and production deployments across multiple Visa techn
Apply for this role on Visa’s official careers site.