Python & Kubernetes Data AI/ML Engineer in Sydney

Python & Kubernetes Data AI/ML Engineer in Sydney

Sydney Full-Time 90000 - 110000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop advanced data analytics and machine learning solutions using Python and Kubernetes.
  • Company: Leading open-source software firm based in Sydney with a global team.
  • Benefits: Supportive remote work environment with professional growth opportunities.
  • Other info: Exciting full-time role with collaboration across a global network.
  • Why this job: Join a dynamic team and make an impact in the AI/ML space.
  • Qualifications: Strong background in Python, Kubernetes, and Linux systems required.

The predicted salary is between 90000 - 110000 $ per year.

A leading open-source software firm is hiring Python and Kubernetes Specialist Engineers in Sydney.

You will work on advanced data analytics and machine learning solutions, collaborating with a global team.

Ideal candidates will have a strong background in Python and Kubernetes, as well as experience in Linux systems.

This full-time role offers a supportive distributed work environment with opportunities for professional growth and collaboration.

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Python & Kubernetes Data AI/ML Engineer in Sydney employer: Canonical

Canonical is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow their careers. As a Software Engineering Manager in the vibrant tech hub of London, you will lead a talented team dedicated to delivering cutting-edge solutions for global OEMs, while enjoying opportunities for professional development and collaboration with industry leaders. With a commitment to diversity and equal opportunity, Canonical ensures that every team member's contributions are valued and recognised.

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Contact Details:

Canonical Recruitment Team

We think you need these skills to ace Python & Kubernetes Data AI/ML Engineer in Sydney

Python
Kubernetes
Data Analytics
Machine Learning
Linux Systems
Collaboration
Problem-Solving Skills