Python & Kubernetes AI/ML Platform Engineer

Canonical; Chihuahua; A distancia; MXN 1,273,000 - 1,638,000; Jornada completa

Descripción de la vacante

A leading open source software company is seeking Python and Kubernetes Specialist Engineers to build open source solutions focused on data, AI/ML, and analytics. In this role, you will design, build, and maintain solutions deployed on public and private clouds. The ideal candidate will have a strong background in Python and Kubernetes, as well as experience with machine learning tools. Join a global team focused on collaboration and innovation without the constraints of a traditional office environment.

Servicios

Personal learning and development budget ($2,000 annually)

Annual compensation review

Recognition rewards

Twice-yearly team sprints in person

Maternity and paternity leave

Formación

• Professional or academic software delivery using Python.
• Exceptional academic track record from high school and university.
• Confidence to respectfully speak up and share ideas.
• Passion for technology evidenced by personal projects.
• Excellent interpersonal skills and accountability.

Responsabilidades

• Develop understanding of the entire Linux stack.
• Design and build solutions for clouds and local workstations.
• Master distributed systems concepts like observability.
• Collaborate proactively with a distributed team.
• Generate and discuss ideas for good solutions.

Conocimientos

Python

Kubernetes

Machine Learning

Linux

Docker

Educación

Undergraduate degree in a technical subject

Herramientas

Kubeflow

MLFlow

Apache SuperSet

dbt

Temporal

Descripción del empleo

A leading open source software company is seeking Python and Kubernetes Specialist Engineers to build open source solutions focused on data, AI/ML, and analytics. In this role, you will design, build, and maintain solutions deployed on public and private clouds. The ideal candidate will have a strong background in Python and Kubernetes, as well as experience with machine learning tools. Join a global team focused on collaboration and innovation without the constraints of a traditional office environment.