20 publicaciones de empleo destacadas de learning / mlops en madrid, md (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
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TRE26-ECS-080 - Arquitecta/o de IA y MLOps
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GCP Senior AI Engineer
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- Jornada completa
- Español
- Informática
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Fujitsu —Madrid, Madrid provincia
- Azure
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Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
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Senior AI/ML Engineer - Document Intelligence - Híbrido Madrid o Málaga
Kenos Technology —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
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- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
10d
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
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SIX Group AG —Madrid, Madrid provincia
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SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
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- Inteligencia artificial
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Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
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- Inglés
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Senior Data Platform / Data Engineer
Straumann Group —La Moraleja, Madrid provincia
- Jornada completa
- AWS
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GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
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- Informática
Consultor/a de AI especializado/a en Generative AI & Azure
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- DevOps
- Flexibilidad horaria
Head of AI & Bio-Data Science
Myzelence BioTech Analytics —Madrid, Madrid provincia
- 82.000 € al año
- Español
- Doctorado
- Informática
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- Seguro dental
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Machine Learning Engineer III
Expedia —Madrid, Madrid provincia
- Jornada completa
- Informática
- Máster
- AWS
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Data Scientist
Capgemini —Madrid, Madrid provincia
- Informática
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Senior Data Scientist
Allianz —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Máster
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9d
Expert Consultant, Coro, AI Engineer
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
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- Doctorado
- Informática
- Seguro dental
- Vacaciones pagadas
Solicitud rápida

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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

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.

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Refina tu búsqueda

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