Description
This role involves architecting, building, and operating end-to-end Machine Learning (ML) pipelines for training, validation, and deployment on Google Cloud and AWS platforms. The engineer will define and maintain logging, monitoring, and alerting systems for model performance and data drift, automate CI/CD processes for ML artifacts and infrastructure using GitHub Actions, and collaborate with various cross-functional teams. They will also write clean, well-documented, fast, and maintainable code to ensure high availability and performance of systems.
