20 publicaciones de empleo destacadas de mlops engineer en parla, md (¡Están contratando!)

Data Scientist
Kapsch TrafficCom AG —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
3d
Data Scientist
Kapsch TrafficCom Transportation S.A.U. —La Moraleja, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
Solicitud rápida
3d
DevOps Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- AWS
- Desarrollo de software
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Machine Learning Engineer
Electronic Arts —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- AWS
- Vacaciones pagadas
AI Platform Engineer
Airbus Defence and Space SAU —Getafe, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Inglés
- Máster
Agentic AI Engineer
BMC Software —Madrid, Madrid provincia
- Azure
- DevOps
- Máster
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Python Engineer Data Domains
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Scientist - Forecast
TMC —Madrid, Madrid provincia
- Azure
- SQL
- Inteligencia artificial
3d
Data Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Cloud Data Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Inglés
- SQL
Senior Backend Engineer (Python) – Cybersecurity
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- Java
AI Engineer (Full Remote)
Everfield —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés
Data Platform Engineer (Remote)
Paymentology —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- SQL
- AWS
- Python
7d
Ingeniero/a en Inteligencia Artificial – Madrid
Converteo —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Oficina
Data Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Senior AI Test Automation Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
AI Architect, Madrid
WayOps —Madrid, Madrid provincia
- Incorporación inmediata
- Teletrabajo
- Azure
- DevOps
- SQL
AI/Data Engineer
eXperience IT Solutions —Pozuelo de Alarcón, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- SQL
- AWS
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
AI/ML Specialist Solutions Architect
Nebius —Madrid, Madrid provincia
- DevOps
- Java
- C++
Solicitud rápida

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Data Scientist

Kapsch TrafficCom AG -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 3 días

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.

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