Software Engineer for Data Analytics and Machine Learning Solutions

6 days ago


Kuwait City, Al Asimah Canonical Full time
About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, Io T, and the cloud, we are changing the world of software.

Salary

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission.

Job Description

As a software engineer on our team, you'll collaborate on an end-to-end data analytics and MLOps solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance, and visualization tools like Apache Super Set, dbt, and Temporal, or data warehouse solutions such as Apache Trino or Click House.

Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

Required Skills and Qualifications

We're looking for someone with:


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