Machine Learning Engineer

Yuno · EuropeRemotemid

In short

▸Construir y escalar infraestructura para llevar modelos de ML de prototipo a producción.
▸Gestionar ciclos de vida automatizados de modelos, pipelines de datos en tiempo real y sistemas de IA con capacidad agente.
▸Rol clave en una empresa de infraestructura de pagos global con presencia en 80+ países.

Experiencia con equipos internacionales o trabajo en entornos bilingües

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What they ask for

✓5 a 8 años de experiencia como ingeniero de ML
✓Experiencia sólida en MLOps y ciclo de vida de modelos
✓Conocimiento en pipelines de datos en tiempo real
✓Habilidad para integrar sistemas de IA con capacidad agente
✓Experiencia trabajando con equipos interdisciplinarios (data science, plataforma, producto)
✓Enfoque en confiabilidad, observabilidad y producción estable

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PythonML frameworks (scikit-learn, TDockerKubernetesAirflowAWSGCPKafkaRedisPrometheus

Who should you write to at Yuno?

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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.

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