Data Science cum MLOps, Madrid (on-site) – International Client
Twtspain
Full-time
Tecnologías de la Información
Location
tres cantos, tres cantos, Spain
Posted
July 17, 2026
Job Description
Data Science cum MLOps, Madrid (on-site) – International Client
Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora.
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 env...
Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora.
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 env...