20 publicaciones de empleo destacadas de data platform devops engineer en ajalvir, md (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- De 285 € a 304 € al día
- Azure
- DevOps
- Inglés
Test Automation Platform Engineer- Hybrid Madrid
UST —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
Data Governance Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Parking gratuito
- Seguro de vida
Lead Workplace Engineer - Microsoft 365, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Sr. DevOps Engineer
mediasmart —Madrid, Madrid provincia
- Turno de 12 horas
- Español
- DevOps
- Inglés
Solicitud rápida
SRE / Devops Engineer
FeverUp —Madrid, Madrid provincia
- DevOps
- Inglés
- AWS
Solicitud rápida
Python Machine Learning Engineer (Hybrid - Madrid)
UST —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Abono gimnasio
Solicitud rápida
DevOps Security Engineer
ING —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Seguro de vida
- Plan de pensiones
DevOps Engineer
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
14d
DevOps Engineer (Madrid-based)
Align Technology —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
Solicitud rápida
DevSecOps Engineer
Hitachi Rail —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
8d
DevSecOps Engineer
Hitachi —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
9d
Senior Cloud Database Platform Engineer (Azure)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Oracle
- DevOps
- Vacaciones pagadas
- Programa de recomendación
Cybersecurity Engineer for Network Security observability
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
Cloud Infrastructure Cost Analyst (FinOps)
Qdrant —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
- Seguro dental
- Seguro oftalmológico
Solicitud rápida
INFRASTRUCTURE ESPECIALIST
Kyndryl —Tres Cantos, Madrid provincia
- Jornada completa
- DevOps
- Sistema operativo Windows
- AWS
9d
Senior Manager | Data Engineer & Cloud Analytics
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Oracle
- Informática
- Flexibilidad horaria
- Oportunidades de crecimiento y desarrollo profesional
QA Automation Engineer - Playwright/Cypress & C# (Híbrido Madrid)
knowmad mood —Madrid, Madrid provincia
- Turno de mañana
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Seguro médico privado
- Flexibilidad horaria
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Data Engineer 2
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps

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Data Science cum MLOps, Madrid (on-site) – International Client

The White Team -
Tres Cantos, Madrid provincia

Solicitar ahora

Detalles del empleo

De 285 € a 304 € al día

Cualificaciones

TensorFlow
CI/CD
Azure
DevOps
Git
Inglés
Programación orientada a objetos
Machine learning
Scrum
Escalabilidad
Cloud
Python

Descripción completa del empleo

Data Science cum MLOps, Madrid (on-site) – International Client

Job role: Data Science cum MLOps.

Minimum experience: 6 to 8 years.

Studies required: Graduate.

Language: English (C1) (Mandatory).

Location: Madrid (on-site).

DESCRIPTION:

We are looking for a Data Science & MLOps Engineer to join our Advanced Analytics & AI team. This role focuses on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

You will collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end ML pipelines and production-ready AI models. The role requires a strong balance between data science expertise and MLOps practices, ensuring robust, scalable, and maintainable solutions.

The position involves working in Agile/DevOps environments and contributing to innovation initiatives that leverage emerging technologies such as GenAI and cloud platforms (Databricks, Azure).

Tasks:

Design, develop, and deploy machine learning and Generative AI models for advanced analytics use cases.
Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate closely with data scientists, data engineers, and analysts to deliver scalable AI solutions.
Implement and manage MLOps best practices, ensuring model reproducibility, monitoring, and lifecycle management.
Optimize models for performance and scalability in production environments.
Work with tools such as MLflow, Azure Machine Learning, and Azure DevOps for pipeline orchestration and CI/CD.
Drive innovation by expanding AI use cases using emerging technologies such as Generative AI.
Communicate complex analytical concepts to non-technical stakeholders and guide decision-making.
Participate in Agile/Scrum teams, contributing to continuous delivery and iterative product development.
Stay updated on industry trends in AI, MLOps, cloud computing, and data platforms.

Specific Expertise:

Experience: 6–8 years in Machine Learning Engineering or Applied ML, with strong exposure to MLOps.
Programming: Advanced proficiency in Python (OOP) and PySpark.
ML Frameworks: Hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
Cloud & Platforms: Strong experience with Azure Cloud and Databricks.
MLOps & Pipelines: Expertise in building ML pipelines using MLflow, Azure ML, and CI/CD tools (Azure DevOps).
Data & Modeling: Strong knowledge of data preprocessing, feature engineering, model optimization, and evaluation techniques (cross-validation, A/B testing).
Version Control: Experience with Git and collaborative development practices.

Nice to Have:

Knowledge of Generative AI frameworks (e.g., LangChain).
Familiarity with vector databases.
Experience with model monitoring and logging in production.
Understanding of data governance and compliance.
Relevant Databricks or Azure certifications.

Language:

English (C1).

Location:

Madrid (on site).

Rate:

285-304 €/day.

Solicitar ahora

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