At Yuno, we are building the payment infrastructure that allows all companies to participate in the integral 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.
Your Contribution Will Be
- MLOps framework: design, build and maintain the MLOps platform (experiment tracking, model registry, versioning and reproducible training pipelines); establish CI/CD practices for ML with automated testing, validation gates and promotion workflows from dev to production; define standards and tooling for feature stores, model artifacts and environment reproducibility across teams
- ML productionizing: take models from research or prototype stage to robust, scalable production services; build low latency, high availability serving infrastructure (batch, online and real time inference); implement monitoring for model performance, data drift and concept drift, with clear alerting and rollback paths; partner with data science teams to harden models for production constraints (latency, cost, scale)
- Automation of ML models: automate retraining, evaluation and deployment pipelines to reduce manual in
📌 Machine Learning Engineer (España)
🏢 Yuno
📍 España
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.