Open Source Python & Kubernetes Data Engineer (AI/ML)

Canonical; Tucson (AZ); 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

Maternity and paternity leave

Employee Assistance Programme

Job summary

Canonical is looking for a Python and Kubernetes Software Engineer to join their team focused on Data, AI/ML, and Analytics solutions. You will collaborate on end-to-end solutions that integrate popular open-source tools, contributing to a distributed team while working with innovative technology in the sectors of AI and cloud infrastructure. This role promises exciting challenges in a global and diverse environment, encouraging your professional growth and passion for technology.

Qualifications

• Experience using Python in software delivery.
• Undergraduate degree in a technical field.
• Experience with machine learning libraries is a plus.

Responsibilities

• Develop and maintain solutions for public and private clouds.
• Collaborate with a distributed team on data analytics solutions.
• Debug issues and engage with upstream and Ubuntu communities.

Skills

Python

Kubernetes

Machine Learning

Data Analytics

Linux

Distributed Systems

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Kubeflow

MLFlow

ETL Tools

Docker

Apache Trino

Job description

Canonical is looking for a Python and Kubernetes Software Engineer to join their team focused on Data, AI/ML, and Analytics solutions. You will collaborate on end-to-end solutions that integrate popular open-source tools, contributing to a distributed team while working with innovative technology in the sectors of AI and cloud infrastructure. This role promises exciting challenges in a global and diverse environment, encouraging your professional growth and passion for technology.