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# Mlops Engineer - Gcp / Vertex Ai

- **Company:** Grupo TECDATA Engineering
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Github, Python (Programming Language), Machine Learning, Management of Software Versions, Cloud Platform System, Git, Gitlab-ci, Xgboost, Machine Learning Operations
- **Published:** September 6, 2026
- **Apply:** https://www.buscojobs.com.es/mlops-engineer-gcp-vertex-ai-en-alcobendas-ID-369610780

## About the Role

Experiencia sólida conGCP, especialmenteVertex AI(Pipelines, Model Registry, Workbench y despliegue de modelos).
Experiencia conBigQueryy grandes volúmenes de datos.
Python avanzado, aplicando buenas prácticas de desarrollo, testing y Git.
Experiencia con modelos comoLightGBM, XGBoost, CatBoosto similares.
Experiencia llevando modelos a producción mediantepipelines automatizados, versionado y monitorización.
Conocimientos deDocker y CI/CD(GitHub Actions, GitLab CI o similares).
Experiencia enData Engineering y pipelines ETL/ELTpara Machine Learning.
Valorable
Experiencia enforecasting y series temporales.
Conocimientos deDeep Learning / Transformersaplicados a forecasting.
Experiencia conGenAI, LLMOps, RAG o agentes.
Experiencia en optimización de modelos y entrenamiento a gran escala.
Proyecto de alto impacto enMachine Learning y MLOps.
Entorno tecnológico basado enGCP y Vertex AI.
Si eres MLOps Engineer y tienes experiencia con GCP/Vertex AI, ¡queremos conocerte!

## Description

MLOPS ENGINEER - GCP / VERTEX AIUbicación:Madrid |Modalidad:Híbrida (1 día presencial/semana)Buscamos un/aMLOps Engineerpara participar en proyectos de Machine Learning a gran escala, trabajando en la industrialización, despliegue y monitorización de modelos enGoogle Cloud Platform.RequisitosExperiencia sólida conGCP, especialmenteVertex AI(Pipelines, Model Registry, Workbench y despliegue de modelos).Experiencia conBigQueryy grandes volúmenes de datos.Python avanzado, aplicando buenas prácticas de desarrollo, testing y Git.Experiencia con modelos comoLightGBM, XGBoost, CatBoosto similares.Experiencia llevando modelos a producción mediantepipelines automatizados, versionado y monitorización.Conocimientos deDocker y CI/CD(GitHub Actions, GitLab CI o similares).Experiencia enData Engineering y pipelines ETL/ELTpara Machine Learning.ValorableExperiencia enforecasting y series temporales.Conocimientos deDeep Learning / Transformersaplicados a forecasting.Experiencia conGenAI, LLMOps, RAG o agentes.Experiencia en optimización de modelos y entrenamiento a gran escala.Proyecto de alto impacto enMachine Learning y MLOps.Entorno tecnológico basado enGCP y Vertex AI.Si eres MLOps Engineer y tienes experiencia con GCP/Vertex AI, ¡queremos conocerte!


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