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
14h
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
11h
AI Engineer
Sanofi —Barcelona, Barcelona provincia
- Trabajo híbrido
- Informática
- DevOps
- Máster
2h
AI Engineer
Linde Material Handling Ibérica, S.A.U. —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- Inglés
Senior Data Platform Engineer
SeQura —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- AWS
- Grado
Solicitud rápida
AI Engineer (Full Remote)
Everfield —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés
Lead AI/ML Engineer
N-iX —En remoto
- Teletrabajo
- Informática
- Inglés
- Máster
Solicitud rápida
Senior Data Engineer
Appodeal —Barcelona, Barcelona provincia
- Oficina
- AWS
- Python
Solicitud rápida
Senior Applied AI Engineer – Developer Productivity & SDLC
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Informática
- Máster
- Grado
Senior LLM Engineer
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
Ingeniero/a en Inteligencia Artificial – Madrid
Converteo —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Oficina
SWE (Research team)
Fundamental —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Investigación
- AWS
AI Platform Lead
Holcim —Madrid, Madrid provincia
- Informática
- Sistemas ERP
- Inglés
GCP AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Senior Machine Learning Engineer – LLMs & Agentic AI
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Doctorado
- Informática
Product Owner for AI & Molecular Modeling
Sanofi —Barcelona, Barcelona provincia
- Doctorado
- Máster
- Grado
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Máster
- SQL
AI Program Manager
Allianz —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Máster
- AWS
- Plan de pensiones
AI Inhouse Consultant (m/f/d)
TecAlliance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés

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 14 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

Data Engineering Internship

AI Engineer

AI Engineer

Senior Data Platform Engineer

AI Engineer (Full Remote)

Lead AI/ML Engineer

Senior Data Engineer

Senior Applied AI Engineer – Developer Productivity & SDLC

Senior LLM Engineer

Ingeniero/a en Inteligencia Artificial – Madrid

SWE (Research team)

AI Platform Lead

GCP AI Engineer

GCP Senior AI Engineer

Senior Machine Learning Engineer – LLMs & Agentic AI

Product Owner for AI & Molecular Modeling

Senior Applied Data Scientist - Data Architecture & Feature Engineering

AI Program Manager

AI Inhouse Consultant (m/f/d)

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