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
5h
MLOps Engineer
Timestamp —Castelldefels, Barcelona provincia
- Trabajo híbrido
- Machine learning
- Python
Solicitud rápida
23h
MLOps Engineer
PepsiCo —Cornellà de Llobregat, Barcelona provincia
- Trabajo híbrido
- Azure
- DevOps
- Python
22h
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
2h
Senior MLOps Engineer
Amaris Consulting —Plegamans, Barcelona provincia
- Trabajo híbrido
- Español
- Azure
- DevOps
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
11d
Senior ML Engineer – Scientific & Engineering Data
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Doctorado
- Máster
- C++
Product Owner for AI & Molecular Modeling
Sanofi —Barcelona, Barcelona provincia
- Doctorado
- Máster
- Grado
AI&Data Consultant
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Doctorado
Senior AI / MLOps Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, SL UNIPERSONAL —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
- Parking gratuito
5d
Senior Data Platform Engineer
SeQura —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- AWS
- Grado
Solicitud rápida
Senior AI / MLOps Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, S.L. UNIPERSONAL. —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
- Parking gratuito
5d
Data Science & AI Training Specialist or AI Skills Lead
eDreams ODIGEO —Madrid, Madrid provincia
- Doctorado
- Informática
- Oficina
Machine Learning Engineer, Amazon Tablets
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- AWS
Ingeniero/a en Inteligencia Artificial – Madrid
Converteo —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Oficina
Senior MLOps Engineer
IDT —Barcelona, Barcelona provincia
- Trabajo híbrido
- DevOps
- Inglés
- Machine learning
- Programa de recomendación
Solicitud rápida
Lead AI/ML Engineer
N-iX —En remoto
- Teletrabajo
- Informática
- Inglés
- Máster
Solicitud rápida
Data Scientist / Machine Learning Engineer Senior
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- SQL
Senior Machine Learning Engineer – Generative AI / LLMs
Accenture —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
AI Platform Lead
Holcim —Madrid, Madrid provincia
- Informática
- Sistemas ERP
- Inglés
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
14d

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

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 5 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

MLOps Engineer

MLOps Engineer

Data Engineering Internship

Senior MLOps Engineer

Senior ML Engineer – Scientific & Engineering Data

Product Owner for AI & Molecular Modeling

AI&Data Consultant

Senior AI / MLOps Engineer (d/f/m)

Senior Data Platform Engineer

Senior AI / MLOps Engineer (d/f/m)

Data Science & AI Training Specialist or AI Skills Lead

Machine Learning Engineer, Amazon Tablets

Ingeniero/a en Inteligencia Artificial – Madrid

Senior MLOps Engineer

Lead AI/ML Engineer

Data Scientist / Machine Learning Engineer Senior

Senior Machine Learning Engineer – Generative AI / LLMs

AI Platform Lead

Director, Data Engineering (Capital Markets)

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

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión