20 publicaciones de empleo destacadas de databricks platform en madrid, md (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
Business Intelligence Engineer (m/f/x)
Allianz —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés
Data Engineer
Reale Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
- Teletrabajo opcional
Senior Data Engineer
Ayvens —Majadahonda, Madrid provincia
- Jornada completa
- Azure
- Informática
- Máster
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Global Data Scientist Specialist
Avolta —Madrid, Madrid provincia
- Inglés
- SQL
- Machine learning
Power BI Developer and Data Analyst
Turner & Townsend —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- SQL
- Agile
Solicitud rápida
Entreprise Architect (f/m/d)
Axpo —Madrid, Madrid provincia
- Media jornada
- Azure
- Oficina
8d
Entreprise Architect (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Media jornada
- Trabajo híbrido
- Azure
- Oficina
8d
Data Engineer Expert
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- SQL
Solicitud rápida
10d
Audit Tech Manager
KPMG Auditores Madrid —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
- Formación continua
- Teletrabajo opcional
1d
Senior Account Executive
Rocket Software —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Ventas
- Salesforce
Data Engineer - Life & Health Reinsurance
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Data & AI Strategy Data Science Analyst
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior AI Engineer
Control Risks —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Investigación
- Máster
Solicitud rápida
Cloud FinOps Consultant
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Oficina
- AWS
- Flexibilidad horaria
Data Architect
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Máster
- AWS
Senior Data Engineer
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- SQL

Quiero recibir la alerta de empleo más reciente de databricks platform en madrid, md

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

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

The White Team -
Tres Cantos, Madrid provincia

Solicitar ahora

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.

Solicitar ahora

Refina tu búsqueda

databricks platform empleos en madrid, md

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

Business Intelligence Engineer (m/f/x)

Data Engineer

Senior Data Engineer

AI Architect (Agentic AI)

Global Data Scientist Specialist

Power BI Developer and Data Analyst

Entreprise Architect (f/m/d)

Entreprise Architect (f/m/d)

Data Engineer Expert

Data Actuary - Life & Health

Senior Data & Analytics Engineer (Europe, 100% remote)

Audit Tech Manager

Senior Account Executive

Data Engineer - Life & Health Reinsurance

Data & AI Strategy Data Science Analyst

Senior AI Engineer

Cloud FinOps Consultant

Data Architect

Senior Data Engineer

Quiero recibir la alerta de empleo más reciente de databricks platform en madrid, md

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión