> Markdown version of [/jobs/ext/1627556-analista-mlops-remoto-flexible-y-crecimiento](https://www.wearedevelopers.com/jobs/ext/1627556-analista-mlops-remoto-flexible-y-crecimiento). 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). --- # Analista Mlops - Remoto, Flexible Y Crecimiento - **Company:** NEORIS - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Software Quality, Continuous Integration, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Delivery Pipeline, Apache Spark, Kubernetes, Machine Learning Operations - **Published:** July 23, 2026 - **Apply:** https://www.buscojobs.com.es/analista-mlops-remoto-flexible-y-crecimiento-en-madrid-ID-364491678 ## About the Role Se requiere al menos 4 años de experiencia en IA, dominio de Python y SQL, y un buen manejo de herramientas de CI/CD. Se valorará experiencia en Spark, ETL y APIs para IA/ML, con disponibilidad para modalidad híbrida en Madrid. ## Description NEORIS busca un Analista/Ingeniero MLOps para desarrollar y mantener aplicaciones de IA en entornos productivos.¿No sabe con seguridad qué habilidades necesitará para esta oportunidad?Simplemente lea la descripción completa a continuación para obtener una idea clara de los requisitos del candidato.Se trabajará con Python, Kubernetes y pipelines CI/CD, asegurando la monitorización y la calidad del código.Se requiere al menos 4 años de experiencia en IA, dominio de Python y SQL, y un buen manejo de herramientas de CI/CD.Se valorará experiencia en Spark, ETL y APIs para IA/ML, con disponibilidad para modalidad híbrida en Madrid.xcskxlj#J-*****-LjbffrHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)