Google Dataflow (regular)
The Personalization project aims to optimize customer loyalty in the long term through targeted personalisation of frontends.
At RTL Data, various assets are being developed for personalisation. These include im ages, editorial carousels and more.
In the project, these assets are combined for playout on frontends and their performance is monitored across all channels.
The project provides corresponding microservices for integration into the frontends.
Design and implement microservices in Python to provide the models via REST API, including functions for monitoring these models in production Deployment of the microservices in the productive Google Cloud environment, considering high availability requirements
Implement data pipelines for preparation, provisioning and versioning of data for model training
Consulting the Data Scientists in the development of Machine Learning and Deep Learning models, especially regarding the productive operation of these models
Requirements / Technology :
Google Cloud Platform, Terraform, GitLab
Kubernetes, Docker, ArgoCD / Workflows
Google Dataflow, BigQuery, BigTable