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Junior Data Scientist — MLOps & Cloud Pipelines
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Junior Data Scientist — MLOps & Cloud Pipelines
Job summary
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.
Benefits
Qualifications
- 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.
Responsibilities
- 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.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.