20 publicaciones de empleo destacadas de data scientist python & en 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
Data Engineer 2
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Data Science Associate
Metyis AG —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Microsoft Excel
- Informática
Solicitud rápida
Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Senior AI/ML Computational Scientist
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Java
- Máster
Full Stack Software Engineer – ESA Science Operations Systems
Serco —Villanueva de la Cañada, Madrid provincia
- Informática
- DevOps
- Inglés
Solicitud rápida
Sustainability Consultant
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Microsoft Office
- Seguro dental
- Vacaciones pagadas
Environmental Risk Consultant
Worley —Madrid, Madrid provincia
- Español
- Microsoft Excel
- Inglés
Machine Learning Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
Senior Python Developer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Vacaciones pagadas
- Programa de recomendación
R&D Engineering, Sr Staff Engineer
Synopsys —Madrid, Madrid provincia
- Doctorado
- Inglés
- Máster
AI Data Architect (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Data Engineer
ThetaRay —Madrid, Madrid provincia
- Español
- Informática
- Inglés
Software Engineer
Rover.com —Madrid, Madrid provincia
- De 51.837 € a 62.832 € al año
- Jornada completa
- Trabajo híbrido
- Oficina
- Python
- Abono gimnasio
- Plan de pensiones
Solicitud rápida
BIM & Digital Specialist
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Scripting
- Seguro dental
- Vacaciones pagadas
Applied AI Engineer
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oficina
- SQL
- Machine learning
Software Dev Engineer Machine Learning
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- SQL
Lead AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida

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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

Refina tu búsqueda

data scientist python & empleos en madrid, md

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

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Full Stack Software Engineer – ESA Science Operations Systems

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Quiero recibir la alerta de empleo más reciente de data scientist python & en madrid, md

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