Summary

Andersen is hiring an MLOps Engineer for a project building a scalable ML platform on AWS and Databricks, supporting model lifecycle, automation, and reliable production operations.

The customer is a global digital platform in the urban services domain, operating a high-load marketplace that connects users and service providers in real time. The platform focuses on scalability, reliability, and data-driven product development, leveraging distributed systems and mobile technologies to support dynamic pricing and large transaction volumes across multiple regions.

The project is focused on building a scalable, secure, and automated ML platform on AWS and Databricks. It supports the full ML lifecycle, including data processing, model training, deployment, monitoring, and retraining, with strong emphasis on MLOps, automation, and production-grade reliability.

Responsibilities