20 publicaciones de empleo destacadas de mlops engineer en las rozas de madrid, 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
AI engineer
domestiko.com —Alcobendas, Madrid provincia
- 4.800 € al mes
- Jornada completa
- Español
- Azure
- Inglés
Machine Learning Engineer III
Expedia —Madrid, Madrid provincia
- De 55.500 € a 78.000 € al año
- Jornada completa
- Informática
- Máster
- AWS
- Seguro dental
- Vacaciones pagadas
AI Engineer
Carrefour —Madrid, Madrid provincia
- Jornada completa
- Informática
- Grado
- Machine learning
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
AI/ML Computational Scientist
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
- Informática
- DevOps
Lead AI Engineer
InteractiveAI —Madrid, Madrid provincia
- De 110.000 € a 130.000 € al año
- Jornada completa
- Azure
- Máster
- AWS
- Vacaciones pagadas
Solicitud rápida
Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Senior DevOps Engineer
InteractiveAI —Madrid, Madrid provincia
- De 90.000 € a 110.000 € al año
- Jornada completa
- Azure
- DevOps
- Máster
Solicitud rápida
AI/Data Engineer
eXperience IT Solutions —Pozuelo de Alarcón, Madrid provincia
- De 38.000 € a 42.000 € al año
- Jornada completa
- Trabajo híbrido
- Informática
- SQL
- AWS
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Agentic AI Engineer (Agents & LLM Systems) - Remoto
eXperience IT Solutions —Madrid, Madrid provincia
- De 50.000 € a 60.000 € al año
- Jornada completa
- Teletrabajo
- Azure
- Informática
- Inglés
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Python Machine Learning Engineer (Hybrid - Madrid)
UST —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Abono gimnasio
Solicitud rápida
AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Data Scientist - Forecast
TMC —Madrid, Madrid provincia
- Azure
- SQL
- Inteligencia artificial
AI Platform Engineer (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Senior MLOps Engineer
Mindtech —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Machine learning
Solicitud rápida
DevOps Engineer (Cloud/Hybrid)
Siemens —Tres Cantos, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
10d
AI Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- De 40.000 € a 65.000 € al año
- Trabajo híbrido
- Español
- Inglés
- Máster
10d
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Data Platform Engineer (Azure Databricks & Unity Catalog). Remoto
eXperience IT Solutions —Madrid, Madrid provincia
- De 35.000 € a 50.000 € al año
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de mlops engineer en las rozas de madrid, 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

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Quiero recibir la alerta de empleo más reciente de mlops engineer en las rozas de madrid, md

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