20 publicaciones de empleo destacadas de learning / mlops en madrid, md (¡Están contratando!)

Data Scientist
Kapsch TrafficCom Transportation S.A.U. —La Moraleja, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
Solicitud rápida
1d
Data Scientist - Forecast
TMC —Madrid, Madrid provincia
- Azure
- SQL
- Inteligencia artificial
1d
Director Data Science & GenAI - Healthcare & Life Sciences
Simon-Kucher & Partners —Madrid, Madrid provincia
- Machine learning
- Python
23h
Senior MLOps Engineer
Mindtech —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Machine learning
Solicitud rápida
Senior Machine Learning Site Reliability Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida
Senior AI & ML Engineer / Generative AI
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Machine learning
- Inteligencia artificial
- Reparto de beneficios empresariales
- Seguro médico privado
Principal Data Scientist (Machine Learning & AI)
SBS —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- Machine learning
- Seguro dental
- Plan de pensiones
Solicitud rápida
Full Stack Developer con experiencia en IA
Aliando —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Java
- Seguro médico privado
- Seguro dental
Solicitud rápida
Senior MLOps Engineer Agentic Senior
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- SQL
Ingeniero de Datos
Berners Ads —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Bases de datos
- AWS
- Machine learning
Solicitud rápida
Data Scientist
Sicpa —Madrid, Madrid provincia
- Informática
- Máster
- SQL
Deputy lead of Artificial Intelligence
Indra —Madrid, Madrid provincia
- Trabajo híbrido
- Machine learning
- Gestión de equipo
- Inteligencia artificial
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Data Engineer – Google Cloud Platform (GCP)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- SQL
13d
Engagement Manager, AI Implementations
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- Grado
- Scripting
Data Architect
Sopra Steria —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oracle
- SQL
- Machine learning
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
DevOps Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- AWS
- Desarrollo de software
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
AIOps - MLOps Engineer with AWS
ERNI Spain —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- DevOps
- Inglés
- Abono gimnasio
AI Architect, Madrid
WayOps —Madrid, Madrid provincia
- Incorporación inmediata
- Teletrabajo
- Azure
- DevOps
- SQL
AI Growth Lead
Capgemini —Madrid, Madrid provincia
- Azure
- Oficina
- AWS

Quiero recibir la alerta de empleo más reciente de learning / mlops 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 Scientist

Kapsch TrafficCom Transportation S.A.U.
La Moraleja, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa
Hace 1 día

Cualificaciones

Informática
Microsoft SQL Server
Inglés
SQL
Machine learning
Agile
Apache
Python

Descripción completa del empleo

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

We are looking for a Data Scientist with experience developing machine learning solutions and analytical models, from experimentation to validated production-ready models. You will work closely with the Product Owner, Data Engineers, MLOps Engineers, and Data Analysts to transform business challenges into scalable AI solutions and data products.

What you’ll do

Design, develop, and validate machine learning models through iterative experimentation and PoC cycles.
Work directly with customers and stakeholders to understand business problems, define use cases, KPIs, and success criteria.
Develop forecasting, predictive, and analytical models, with strong focus on time series use cases.
Collaborate closely with Product Owners, Data Engineers, Data Analysts, and MLOps Engineers to deliver AI and ML solutions efficiently.
Perform feature engineering, model validation, and model performance analysis.
Build demo-ready PoCs and visualizations to communicate results and insights to stakeholders.
Track experiments, metrics, and model evolution using MLflow.
Work with analytical datasets and contribute to the definition of datasets and features for ML use cases.
Contribute to technical standards, best practices, and AI/ML solution design.

What we’re looking for

4+ years of experience as a Data Scientist, ML Engineer, or similar role focused on analytical and ML solutions.
Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
Strong background in machine learning.
Experience managing ML experimentation cycles, model lifecycle, and production model maintenance, using tools such as MLflow or similar.
Proficiency in Python and experience working with SQL.
Experience working with analytical databases and large datasets.
Familiarity with orchestration tools such as Apache Airflow and notebook-based experimentation workflows.
Strong English communication skills, both written and spoken.
Analytical mindset, fast learner, collaborative attitude, and customer-oriented approach.
Experience working in Agile environments.

Our offer

Permanent role.
Hybrid working model (3 days of remote work/week).
Flexible working hours.
30 business days of annual leave.
Flexible remuneration plan.

Solicitud rápida

Refina tu búsqueda

learning / mlops empleos en madrid, md

Data Scientist

Data Scientist - Forecast

Director Data Science & GenAI - Healthcare & Life Sciences

Senior MLOps Engineer

Senior Machine Learning Site Reliability Engineer

AI/ML Specialist Solutions Architect

Senior AI & ML Engineer / Generative AI

Principal Data Scientist (Machine Learning & AI)

Full Stack Developer con experiencia en IA

Senior MLOps Engineer Agentic Senior

Ingeniero de Datos

Data Scientist

Deputy lead of Artificial Intelligence

Data Engineer – Google Cloud Platform (GCP)

Engagement Manager, AI Implementations

Data Architect

DevOps Engineer

AIOps - MLOps Engineer with AWS

AI Architect, Madrid

AI Growth Lead

Quiero recibir la alerta de empleo más reciente de learning / mlops en madrid, md

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión