MLOps Field Engineer: AI/ML Cloud Architect

Jobgether SRL; México; A distancia; MXN 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning budget USD 2000

Travel opportunities

Global team collaboration

Distributed work environment

Descripción de la vacante

Jobgether SRL, on behalf of a partner company, seeks a MLOps Field Engineer based in Mexico to design and deliver modern AI/ML architectures using open source technologies, Linux, Kubernetes, and cloud infrastructure.

You will work directly with customers, deliver demonstrations and workshops, and travel up to 30% for engagements, industry events, and project activities, while collaborating with sales and engineering teams.

Formación

• Experience in MLOps, data engineering, cloud infrastructure or ML analytics deployment.
• Proficiency with Linux, virtualization, containers, networking and cloud infra.
• Kubernetes experience; familiarity with AWS, Azure or Google Cloud.

Responsabilidades

• Design AI/ML, MLOps, data engineering and cloud solutions aligned with workloads.
• Deploy and validate solutions across on‑prem and cloud platforms; hand to support teams.
• Develop infrastructure automation and Kubernetes capabilities; create demos and trainings.
• Engage with customers to extract requirements and translate to architectures.

Conocimientos

MLOps

Linux

Python

Cloud computing

Customer-facing

Educación

Technical undergraduate degree

Herramientas

Kubernetes

Kubeflow

OpenStack

Spark

Python tooling

Descripción del empleo

Jobgether SRL, on behalf of a partner company, seeks a MLOps Field Engineer based in Mexico to design and deliver modern AI/ML architectures using open source technologies, Linux, Kubernetes, and cloud infrastructure.

You will work directly with customers, deliver demonstrations and workshops, and travel up to 30% for engagements, industry events, and project activities, while collaborating with sales and engineering teams.