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Advanced Data and Machine Learning Engineer
2 weeks ago
This is a compelling chance to collaborate with Canonical's team on the creation of open source solutions for public cloud and private infrastructure.
About the Role:We are seeking skilled software engineers to contribute to the development of end-to-end data analytics and machine learning operations (MLOps) solutions using popular, open-source tools such as Kubeflow, MLFlow, DVC, and Feast.
- Design, build, and maintain solutions that will be deployed on public and private clouds and local workstations
- Familiarize yourself with the Linux stack, from kernel, networking, and storage, to the application layer
- Mastery of distributed systems concepts such as observability, identity, tracing
- Work with both Kubernetes and machine-oriented open-source applications
- Collaborate proactively with a distributed team of engineers, designers, and product managers
Canonical is a pioneering tech firm at the forefront of the global move to open-source. As the company behind Ubuntu, one of the most important open-source projects, we are driving innovation in AI, IoT, and the cloud.
