- Yuno
- Europe, HE
- 24 days ago
Machine Learning Engineer.
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Machine Learning Engineer: our view in 3 lines...
- The Role:This role is for a mid-level machine learning engineer building production ML infrastructure for payments technology.
- The Person:The person will build and maintain the MLOps platform, productionise machine learning models, automate retraining and deployment, integrate streaming data platforms, and add agentic workflows to ML systems.
- Requirements:The ideal candidate has 5 to 8 years of experience in ML engineering or MLOps, with model serving frameworks, orchestration tools, streaming systems, Docker, Kubernetes, observability tooling, and fluent English.
About the role
Who We Are
At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by veterans from payments and technology, including people who previously built Rappi, Yuno connects companies like InDrive, McDonald's, Rappi and Viva Aerobus with 300+ payment methods worldwide via a single API. We use AI and modern technology for intelligent transaction routing and fraud prevention across more than 80 countries.
About The Role
We are looking for a Machine Learning Engineer (mid level, 5 to 8 years of experience) based in Europe to build and scale the infrastructure that takes machine learning models from notebook to production. You will own the MLOps foundation, automate the model lifecycle, integrate streaming data pipelines and bring agentic capabilities into our ML systems. This is a hands on role for someone who cares as much about reliability and observability as about model performance. You will join the Data, AI and ML team and work closely with data science, platform and product teams.