20 publicaciones de empleo destacadas de devops engineer (madrid based) en pozuelo de alarcón, 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
Sr. Software Engineer, Python (Madrid-based)
Align Technology —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Inglés
Solicitud rápida
DevOps Engineer
UST —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
Senior AI Test Automation Engineer - Hybrid Madrid
UST —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- Inglés
- Máster
- Abono gimnasio
Solicitud rápida
8h
Identity & Access Management Security Engineer (m/f/d)
Liebherr IT Shared Service Centre Ibérica, S.L. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
Senior AI Engineer, Agentic Systems
Kharon —Madrid, Madrid provincia
- De 95.000 € a 115.000 € al año
- Jornada completa
- Trabajo híbrido
- Español
- DevOps
- SQL
Solicitud rápida
Salesforce Tech Lead (Remote from Spain)
UST —Madrid, Madrid provincia
- Teletrabajo
- CRM software
- Azure
- Informática
- Abono gimnasio
Solicitud rápida
Senior Cloud Database Platform Engineer (Azure)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Oracle
- DevOps
- Vacaciones pagadas
- Programa de recomendación
Senior Quality Assurance Engineer
osapiens —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
Senior Product Engineer / AI Solution Architect
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
12d
Principal Backend Engineer (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida
CyberArk PAM Engineer
ING —Madrid, Madrid provincia
- Azure
- DevOps
- Inglés
Senior Delivery Enablement Lead (Hybrid)
Colliers International EMEA —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Español
- Azure
- Informática
Solicitud rápida
Forward Deployed AI Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Media jornada
- Trabajo híbrido
- Azure
- Informática
- DevOps
Head of Infrastructure & Security
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- AWS
Solicitud rápida
Forward Deployed AI Engineer (f/m/d)
Axpo —Madrid, Madrid provincia
- Media jornada
- Azure
- Informática
- DevOps
Platform Engineer - Golang
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- DevOps
- Inglés
Senior Azure Database Administrator - Hybrid Madrid
UST —Madrid, Madrid provincia
- Azure
- Oracle
- DevOps
- Abono gimnasio
Solicitud rápida
Senior Cyber Security Specialist - Authenticator Management (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
9d
Senior Power Systems Software Engineer
Artelys —Madrid, Madrid provincia
- Jornada completa
- Español
- Doctorado
- DevOps
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de devops engineer (madrid based) en pozuelo de alarcón, md

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

The White Team -
Tres Cantos, Madrid provincia

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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

Refina tu búsqueda

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

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Quiero recibir la alerta de empleo más reciente de devops engineer (madrid based) en pozuelo de alarcón, md

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