Data Engineering Innovator for AI and Machine Learning

Há 3 dias


Coimbra, Coimbra, Portugal Buscojobs Portugal Tempo inteiro

Canonical, a pioneering tech firm at the forefront of the global move to open source, is looking for an exceptional Data Engineering Innovator to join its team.

The company is a leading provider of open source software and operating systems to the global enterprise and technology markets. Its platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT.

This role offers a fantastic opportunity to work across the entire Linux stack, from kernel, networking, storage, to applications, and to architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark.

The ideal candidate will have experience in data engineering, MLOps, or big data solutions deployment, as well as a strong background in Linux, virtualisation, containers, and networking.

The salary for this position is estimated to be around €80,000 - €120,000 per year, depending on experience and qualifications.

As a Data Engineering Innovator, you will work closely with the sales team to deliver solutions to customers and to advise them on Ubuntu and relevant open source applications.

You will also have the opportunity to travel internationally for company events and customer meetings, and to work directly with customers in a range of different businesses.

What you'll learn:

  • Architect and deploy AI/ML infrastructures, data processing pipelines, and multi-cluster distributed training
  • Wide range of open source applications and skills
  • Real-life and hands-on exposure to a wide range of emerging technologies and tools

About Canonical:

Canonical is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.


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