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Visa is seeking a Machine Learning Engineer for their Stockholm office to design and operate ML solutions that enhance their payment platforms. The role emphasizes collaboration, problem-solving, and hands-on experience in a cross-functional environment, with a focus on real-world ML applications.
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Job Summary
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.
This role is designed for engineers who want to build strong foundations in software engineering and applied machine learning while working on real-world, production systems at Visa scale.
Matching Summary
Match Score: 75
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Visa is seeking a Machine Learning Engineer for their Stockholm office to design and operate ML solutions that enhance their payment platforms. The role emphasizes collaboration, problem-solving, and hands-on experience in a cross-functional environment, with a focus on real-world ML applications.
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Skills & Requirements
Must-have
production-grade machine learning systems
end-to-end ML pipelines
MLOps practices
scalable APIs and serving layers
Python programming skills
PyTorch
Kubernetes and Docker
Nice-to-have
curiosity and willingness to learn
collaboration in cross functional teams
problem solving skills
comfort challenging existing solutions
adaptability and learning
Key Requirements
Bachelor’s degree in Computer Science Engineering Data Science or related technical field
practical experience as ML Engineer or Software Engineer
academic or project exposure to machine learning
experience building and operating ML pipelines and models in production
GPU inference and optimization experience
experience with agentic AI frameworks and patterns
experience with at least one major cloud platform for ML