The aim of the project is to provide a seamless integration of the AI/ML models in the workflows in order to maximize the value delivered by the AI Ops platform and contribute to pRED?s transformation.
We want to build the infrastructure around the platform that will make this possible and manageable in the future, especially as demand grows and model diversity increases.
We want to lower the entry barrier for data scientists to work on the platform by facilitating data access and event-based functionalities.
- Very good knowledge of Kubernetes and AWS
- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- Infrastructure Automation, Infrastructure as Code (IAC)
- Monitoring and logging tools
- Container Concepts
- Cloud based infrastructure
- Source Control
- Linux Fundamentals And Scripting
- DevOps concept
- Good communication skills
- Superior troubleshooting approach
- Required level of English: B2 -Upper-Intermediate