Senior Data Science & MLOps Engineer (Azure)

Thewhiteam; Tres Cantos; On-site; EUR 52,582 - 56,088; Full time

Job summary

TheWhiteam is seeking a Data Science & MLOps Engineer to join the Advanced Analytics & AI team in Madrid. This role focuses on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

The ideal candidate will have 6–8 years of experience, strong proficiency in Python and MLOps, and expertise in building ML pipelines. On-site work is required with competitive compensation of 285–304 €/day.

Qualifications

• 6–8 years of experience in Machine Learning Engineering or Applied ML with strong exposure to MLOps.
• Advanced proficiency in Python (OOP) and PySpark.
• Hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
• Strong experience with Azure Cloud and Databricks.
• Expertise in building ML pipelines using MLflow, Azure ML, and CI/CD tools.
• Strong knowledge of data preprocessing, feature engineering, and model optimization.
• Experience with Git and collaborative development practices.
• English (C1) required.

Responsibilities

• Design, develop, and deploy machine learning and Generative AI models.
• Build and maintain end-to-end ML pipelines.
• Collaborate with data scientists, engineers, and analysts.
• Implement and manage MLOps best practices.
• Optimize models for performance and scalability.
• Work with MLflow, Azure Machine Learning, and Azure DevOps.
• Drive innovation using emerging technologies.
• Communicate complex concepts to non-technical stakeholders.
• Participate in Agile/Scrum teams.

Skills

Machine Learning Engineering

MLOps

Python (OOP)

PySpark

Scikit-learn

TensorFlow

PyTorch

Azure Cloud

Databricks

Git

English (C1)

Education

Graduate level education

Tools

MLflow

Azure Machine Learning

Azure DevOps

Job description

TheWhiteam is seeking a Data Science & MLOps Engineer to join the Advanced Analytics & AI team in Madrid. This role focuses on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

The ideal candidate will have 6–8 years of experience, strong proficiency in Python and MLOps, and expertise in building ML pipelines. On-site work is required with competitive compensation of 285–304 €/day.