20 publicaciones de empleo destacadas de databricks platform engineer en ajalvir, 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
Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- Java
- Programa de recomendación
- Plan de pensiones
1d
Head of Engineering (Europe, 100% remote)
LimeFlight —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Grado
Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- SQL
Solicitud rápida
Arquitecto de Soluciones del Dato | Data Engineer & Cloud Analytics
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
- Flexibilidad horaria
Senior Site Reliability Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, SL UNIPERSONAL —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
- Parking gratuito
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TK ELEVATOR IBERICA HOLDING, S.L. UNIPERSONAL. —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
- Parking gratuito
Python Backend Engineer (Azure Functions)
VISEO - Spain —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Mantenimiento
- Formación continua
- Seguro médico privado
Solicitud rápida
Data Engineer
Lighthouse Intelligence Ltd. —Madrid, Madrid provincia
- Jornada completa
- Hotel
- Machine learning
- Python
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Senior Data Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- Informática
Lead AI Architect, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Azure
- Java
- Inteligencia artificial
Integration Analyst
Sika —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Informática
- Sistemas ERP
- Plan de pensiones
Data Engineering Lead / Evangelist
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Máster
- Grado
- Parking gratuito
- Seguro de vida
Data & AI Strategy Data Science Analyst
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior Data Engineer (Ecosistema Azure)
VISEO - Spain —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
- Formación continua
- Teletrabajo opcional
Solicitud rápida
Data Engineer Expert
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
Data Architect (GCP)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
Data Engineer
GEA Group Aktiengesellschaft —Alcobendas, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
11d

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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

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

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