Python & Kubernetes AI/ML Data Engineer

Canonical; Minneapolis (MN); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Employee Assistance Programme

Priority Pass for travel

Job summary

Canonical is seeking Python and Kubernetes Specialist Engineers to focus on Data, AI/ML, and Analytics Solutions. As a software engineer, you will build open source solutions that are vital for both public cloud and private infrastructures.

Your primary responsibilities will include developing data analytics solutions, collaborating with a distributed team, and maintaining a solution from the analytics space, all while working on cutting-edge technology.

Canonical offers a distributed work environment, comprehensive benefits, and a personal learning budget, allowing you to grow in your career.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Confidence to exchange feedback and share ideas.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build and maintain cloud solutions.
• Collaborate proactively with a distributed team.

Skills

Python

Kubernetes

Linux

Machine Learning

Container technologies

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubeflow

MLFlow

Apache Superset

Job description

Canonical is seeking Python and Kubernetes Specialist Engineers to focus on Data, AI/ML, and Analytics Solutions. As a software engineer, you will build open source solutions that are vital for both public cloud and private infrastructures.

Your primary responsibilities will include developing data analytics solutions, collaborating with a distributed team, and maintaining a solution from the analytics space, all while working on cutting-edge technology.

Canonical offers a distributed work environment, comprehensive benefits, and a personal learning budget, allowing you to grow in your career.