MLOps Strategy & Architecture

• Contribute to the definition and evolution of the MLOps strategy for a hybrid cloud environment, ensuring alignment with business objectives, security standards, and industry best practices;
• Support the design of a scalable MLOps platform with a self-service approach, covering the full ML lifecycle, including data ingestion, feature engineering, model training, validation, deployment, and monitoring;
• Develop and maintain clear and structured documentation for MLOps processes, workflows, and infrastructure.

Hybrid ML Lifecycle Implementation

• Design and implement Infrastructure as Code (IaC) solutions using Terraform to provision and manage cloud and on-premises resources;
• Ensure robust security practices to protect sensitive data and ML models across hybrid environments;
• Develop and deploy new platform functionalities while ens...