MLOps Field Engineer — Remote, Global Travel

Canonical

Ciudad de México

Presencial

MXN 1.045.842 - 1.394.456

Jornada completa

14 días+
Generador de candidaturas

Transforma esta oferta en una entrevista: un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

Personal learning and development budget of USD 2,000 per year
40 days annual leave per annum
Team Member Assistance Program & Wellness Platform

Descripción de la vacante

Canonical is looking for an MLOps Field Engineer to assist global companies in embracing AI/ML using open-source capabilities. The role involves designing ML architectures and solving complex customer problems. It offers opportunities to work with cloud solutions, including Kubernetes, and presents a unique chance for technical experts interested in enterprise-level challenges.

This position supports hybrid work, allowing for a balanced work-life arrangement. Benefits include a learning budget, travel opportunities, and 40 days of annual leave.

Formación

  • Exceptional academic track record from both high school and university.
  • Experience with relevant programming languages, like Python, R, or Rust.
  • Practical knowledge of Linux, virtualization, containers, and networking.

Responsabilidades

  • Design private and public cloud solutions fitting customer workload needs.
  • Architect cloud infrastructure solutions like Kubernetes and Kubeflow.
  • Deliver solutions on-premise or in public cloud (AWS, Azure, Google Cloud).
  • Grow a healthy, collaborative engineering culture.

Conocimientos

Data engineering
MLOps
Big data solutions deployment
Python
Linux
Cloud computing

Educación

Undergraduate degree in a technical subject

Herramientas

Kubernetes
AWS
Azure
GCP

Descripción del empleo

Canonical is looking for an MLOps Field Engineer to assist global companies in embracing AI/ML using open-source capabilities. The role involves designing ML architectures and solving complex customer problems. It offers opportunities to work with cloud solutions, including Kubernetes, and presents a unique chance for technical experts interested in enterprise-level challenges.

This position supports hybrid work, allowing for a balanced work-life arrangement. Benefits include a learning budget, travel opportunities, and 40 days of annual leave.

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