Python & Kubernetes Data Engineer for AI/ML & Analytics

Canonical; Remote; SAR 200,000 - 300,000; Full time

Job summary

A leading open source software provider is seeking Python and Kubernetes Specialist Engineers to join their teams focused on Data, Workflows, AI/ML, and Analytics Solutions. Successful candidates will collaborate with a distributed team, working on end-to-end data analytics and MLOps solutions using popular open-source tools. The ideal candidate should have experience in software delivery using Python, a strong academic background, and skills in Linux. This role offers the flexibility of a distributed work environment with competitive compensation and additional benefits.

Benefits

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

Annual compensation review

Distributed work environment

Maternity and paternity leave

Qualifications

• Professional delivery of software solutions using Python.
• Ability to manage and orchestrate workflows for the cloud.
• Experience in building automated machine learning solutions.

Responsibilities

• Develop understanding of the entire Linux stack.
• Design, build, and maintain solutions for public and private clouds.
• Collaborate with a distributed team of engineers and designers.

Skills

Software delivery using Python

Interpersonal skills

Confidence in communication

Linux experience (Debian or Ubuntu preferred)

Curiosity

Flexibility

Accountability

Education

Undergraduate degree in a technical subject

Exceptional academic track record

Tools

Kubernetes

Docker

Machine learning libraries

Job description

A leading open source software provider is seeking Python and Kubernetes Specialist Engineers to join their teams focused on Data, Workflows, AI/ML, and Analytics Solutions. Successful candidates will collaborate with a distributed team, working on end-to-end data analytics and MLOps solutions using popular open-source tools. The ideal candidate should have experience in software delivery using Python, a strong academic background, and skills in Linux. This role offers the flexibility of a distributed work environment with competitive compensation and additional benefits.