20 publicaciones de empleo destacadas en ai data platform engineer (mlops) (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
2h
Senior Machine Learning Engineer
BizAway —Barcelona, Barcelona provincia
- Horas extra
- Teletrabajo
- Doctorado
- Informática
- Máster
- Teletrabajo opcional
7d
Lead Software Developer (Java, Python & AI Systems)
SITA Switzerland Sarl —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- DevOps
- Oficina
- Teletrabajo opcional
AI Lead
Alira Health —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Doctorado
- Informática
AI Inhouse Consultant (m/f/d)
TecAlliance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
14d
Head of Data and AI
Abion —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior Product Manager (German Speaking) — AI and Data Solutions
Provectus —En remoto
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
Solicitud rápida
Data Science & AI Training Specialist or AI Skills Lead
eDreams ODIGEO —Madrid, Madrid provincia
- Doctorado
- Informática
- Oficina
ML Engineer
eDreams ODIGEO —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- Oficina
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
13d
AI&Data Consultant
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Doctorado
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Staff ML Engineer
Factorial —Barcelona, Barcelona provincia
- De 77.000 € a 92.000 € al año
- Informática
- Ventas
- Inglés
Solicitud rápida
4d
Machine Learning Engineer (LLM)
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
Senior Machine Learning Engineer
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Informática
- SQL
Senior Rust Engineer
Appodeal —Barcelona, Barcelona provincia
- Oficina
- SQL
- C++
Solicitud rápida
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida
IA ENGINEER (Semi senior)
Cívica —Granada, Granada provincia
- Teletrabajo
- Microsoft Excel
- Azure
- Oficina
- Formación continua
- Teletrabajo opcional
4d
Backend Developer
Linde Material Handling Ibérica, S.A.U. —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés
Lead AI Engineer, Business Acceleration
SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de ai data platform engineer (mlops)

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

Hace 2 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

ai data platform engineer (mlops) empleos

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

Senior Machine Learning Engineer

Lead Software Developer (Java, Python & AI Systems)

AI Lead

AI Inhouse Consultant (m/f/d)

Head of Data and AI

Senior Product Manager (German Speaking) — AI and Data Solutions

Data Science & AI Training Specialist or AI Skills Lead

ML Engineer

Director, Data Engineering (Capital Markets)

AI&Data Consultant

AI Architect (Agentic AI)

Staff ML Engineer

Machine Learning Engineer (LLM)

Senior Machine Learning Engineer

Senior Rust Engineer

AI/ML Specialist Solutions Architect

IA ENGINEER (Semi senior)

Backend Developer

Lead AI Engineer, Business Acceleration

Quiero recibir la alerta de empleo más reciente de ai data platform engineer (mlops)

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión