Data Science cum MLOps, Madrid (on-site) – International Client

Job Overview

Data Science & MLOps Engineer to join the Advanced Analytics & AI team. Focus on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

Responsibilities

• Design, develop, and deploy machine learning and Generative AI models for advanced analytics use cases.
• Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Collaborate closely with data scientists, data engineers, and analysts to deliver scalable AI solutions.
• Implement and manage MLOps best practices, ensuring model reproducibility, monitoring, and lifecycle management.
• Optimize models for performance and scalability in production environments.
• Work with tools such as MLflow, Azure Machine Learning, and Azure DevOps for pipeline orchestration and CI/CD.
• Drive innovation ...