20 publicaciones de empleo destacadas en data science/mlops engineer (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
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Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
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Senior Big Data Engineer
Eurasia Trips Technology —Barcelona, Barcelona provincia
- 64.000 € al año
- Azure
- Informática
- Java
- Seguro médico privado
- Seguro dental
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AI Inhouse Consultant (m/f/d)
TecAlliance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Senior Machine Learning Engineer – Generative AI / LLMs
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
AI Architect
Fluidra North America —Sant Cugat del Vallès, Barcelona provincia
- Español
- Informática
- Inglés
8d
AI&Data Consultant
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Doctorado
Senior AI Test Automation Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
Senior AI Backend Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
Machine Learning Engineer, Amazon Tablets
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- AWS
Senior / Mid LLM Engineer – Applied AI y Model Optimization
Mystery Project —Donostia-San Sebastián, Guipúzcoa provincia
- Jornada completa
- Doctorado
- Informática
- Inglés
Solicitud rápida
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
14d
AI Senior Consultant
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Forward Deployed AI Engineer (all genders)
UDG Ludwigsburg GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida
Backend Developer
Linde Material Handling Ibérica, S.A.U. —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés
AI Lead
Alira Health —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Doctorado
- Informática
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Senior Devops Engineer
Monks —Madrid, Madrid provincia
- De guardia
- Informática
- DevOps
- AWS
Solicitud rápida
AI Voice Agents Engineering Lead
ISB Santander Global Technology and Operations, S.L. —Santa Bàrbara, Tarragona provincia
- Jornada completa
- Azure
- Informática
- Máster
- Abono gimnasio
- Seguro de vida

Quiero recibir la alerta de empleo más reciente de data science/mlops engineer

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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

Hace 23 horas

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 science/mlops engineer empleos

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

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Senior Big Data Engineer

AI Inhouse Consultant (m/f/d)

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