> Markdown version of [/jobs/ext/2919687-mlops-engineer-gcp-vertex-ai-grupo-tecdata-engineering](https://www.wearedevelopers.com/jobs/ext/2919687-mlops-engineer-gcp-vertex-ai-grupo-tecdata-engineering). 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).

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# Mlops Engineer - Gcp / Vertex Ai - Grupo Tecdata Engineering

- **Company:** Grupo TECDATA Engineering
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Code Review, Continuous Integration, Extract Transform Load (ETL), Github, Python (Programming Language), Machine Learning, Management of Software Versions, Deep Learning, Git, Gitlab-ci, Machine Learning Operations, Docker
- **Published:** September 15, 2026
- **Apply:** https://www.buscojobs.com.es/mlops-engineer-gcp-vertex-ai-grupo-tecdata-engineering-en-madrid-ID-371713112

## About the Role

Experiencia sólida enGCP, especialmenteVertex AI y BigQuery.
Python avanzadoy buenas prácticas de desarrollo: Git, testing y code reviews.
Experiencia conMachine Learningy grandes volúmenes de datos.
Experiencia enMLOps:pipelines, versionado, despliegue y monitorización de modelos.
Docker y CI/CD(GitHub Actions, GitLab CI o similar).
Experiencia enData Engineering / ETL-ELT.
Valorable
Forecasting y series temporales.
Deep Learning / Transformers.
GenAI / LLMOps, RAG y agentes.
Optimización de modelos e hiperparámetros conOptuna, Ray Tuneo similares.
Si te interesa trabajar en proyectos deIA/ML en entornos cloud, ¡queremos conocerte!

## Description

? MLOps Engineer - GCP / Vertex AIBuscamos un/aMLOps Engineerpara trabajar en proyectos de Machine Learning y llevar modelos desde la experimentación hasta producción.?Ubicación:Madrid?Modalidad:Híbrida - 1 día/semana en oficinaRequisitosExperiencia sólida enGCP, especialmenteVertex AI y BigQuery.Python avanzadoy buenas prácticas de desarrollo: Git, testing y code reviews.Experiencia conMachine Learningy grandes volúmenes de datos.Experiencia enMLOps:pipelines, versionado, despliegue y monitorización de modelos.Docker y CI/CD(GitHub Actions, GitLab CI o similar).Experiencia enData Engineering / ETL-ELT.ValorableForecasting y series temporales.Deep Learning / Transformers.GenAI / LLMOps, RAG y agentes.Optimización de modelos e hiperparámetros conOptuna, Ray Tuneo similares.Si te interesa trabajar en proyectos deIA/ML en entornos cloud, ¡queremos conocerte!


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