Junior Data Scientist — MLOps & Cloud Pipelines

SIX Group Services Ltd.; Madrid; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A financial services provider is seeking a Junior Data Scientist with a focus on DevOps to join their team in Madrid. You will be responsible for developing machine learning models, implementing MLOps practices, and managing cloud infrastructure. The ideal candidate has at least 3 years of relevant experience, is proficient in Python and SQL, and has solid knowledge of Azure DevOps and Terraform. This position offers flexible work models and a culture of continuous learning.

Servicios

Flexible work models

Personal development opportunities

Agile working methods

Formación

• 3+ years of experience in Data Science, DevOps, or Software Engineering.
• Proficiency in Python and SQL. Knowledge of API development with FastAPI.
• Experience with Azure DevOps, CI/CD concepts, Docker and version control (Git).
• Familiarity with cloud services in Microsoft Azure and Google Cloud Platform (GCP).
• Practical knowledge of Terraform for managing cloud resources.

Responsabilidades

• Assist in the design and implementation of machine learning models.
• Build and maintain CI/CD pipelines using Azure DevOps.
• Use Terraform to provision and manage cloud infrastructure.
• Track model performance and optimize infrastructure for cost and efficiency.
• Collaborate with the engineering team to ensure data science code integrates smoothly.

Conocimientos

Machine learning expertise

Python proficiency

SQL proficiency

Collaboration skills

DevOps knowledge

Cloud experience

Educación

Relevant degree in Computer Science, Data Science, or Engineering

Herramientas

Azure DevOps

Terraform

Google Cloud Platform

Docker

FastAPI

Descripción del empleo

A financial services provider is seeking a Junior Data Scientist with a focus on DevOps to join their team in Madrid. You will be responsible for developing machine learning models, implementing MLOps practices, and managing cloud infrastructure. The ideal candidate has at least 3 years of relevant experience, is proficient in Python and SQL, and has solid knowledge of Azure DevOps and Terraform. This position offers flexible work models and a culture of continuous learning.