> Markdown version of [/jobs/ext/2070033-ml-platform-engineer-scale-ai-for-a-marketplace](https://www.wearedevelopers.com/jobs/ext/2070033-ml-platform-engineer-scale-ai-for-a-marketplace). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ml Platform Engineer: Scale Ai For A Marketplace - **Company:** Q Tech - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Cloud Computing, Continuous Integration, Azure Machine Learning, Kubernetes, Machine Learning Operations, Marketplace, Docker - **Published:** August 15, 2026 - **Apply:** https://www.buscojobs.com.es/ml-platform-engineer-scale-ai-for-a-marketplace-en-madrid-ID-367443645 ## About the Role Aportarás experiencia en pipelines de CI/CD, observabilidad y herramientas de orquestación como Airflow o Kubeflow, contribuyendo a un ciclo de vida completo de ML y mejorando la fiabilidad y reproducibilidad en toda la ## Description Q-Tech busca un/a Ingeniero/a MLOps para ampliar su Plataforma de ML interna que soporta equipos de IA en una empresa marketplace con sede en Barcelona.Trabajarás con Kubernetes, Docker y cloud para desplegar y operar modelos a gran escala en un entorno multi-equipo.Aportarás experiencia en pipelines de CI/CD, observabilidad y herramientas de orquestación como Airflow o Kubeflow, contribuyendo a un ciclo de vida completo de ML y mejorando la fiabilidad y reproducibilidad en toda la#J-*****-Ljbffr ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)