Azure ML Platform Engineer: MLOps & AKS Expert

YDU JC Air Cond & Ref Inc.- Dubai; San Pedro Garza García; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Johnson Controls in San Pedro Garza Garcia, Nuevo Leon, Mexico seeks a Platform Engineer to advance ML platform engineering on Azure. You will design and operate scalable ML pipelines, manage infrastructure as code, and collaborate with data scientists and cloud engineers to deploy secure AI solutions.

Ideal candidates have 5+ years in ML engineering or platform roles, strong Azure DevOps and Terraform experience, and hands-on Kubernetes/Docker expertise in AKS.

Formación

• Bachelor’s or Master’s in CS, Eng, or related field.
• 5+ years in ML engineering, MLOps, or platform engineering.
• Strong experience deploying ML models on Azure using Azure ML and Azure DevOps.
• Proficient with Terraform for IaC; scripting in Bash/PowerShell.
• Experience with Docker and Kubernetes in Azure (AKS).

Responsabilidades

• Build end-to-end ML pipelines on Azure ML with CI/CD via Azure DevOps.
• Operationalize LLMs and generative AI with secure, scalable infra.
• Design and manage IaC with Terraform for compute clusters and storage.
• Collaborate with data scientists, cloud engineers, and product teams.
• Implement monitoring, security RBAC, and governance across environments.

Conocimientos

Python

Terraform

Bash

PowerShell

Docker

Kubernetes

Azure

Azure ML

LangChain

Transformers

CI/CD

ML Ops

Educación

Bachelor’s or Master in CS/Engineering

Herramientas

Azure DevOps

AKS

Azure ML

Terraform

Descripción del empleo

Johnson Controls in San Pedro Garza Garcia, Nuevo Leon, Mexico seeks a Platform Engineer to advance ML platform engineering on Azure. You will design and operate scalable ML pipelines, manage infrastructure as code, and collaborate with data scientists and cloud engineers to deploy secure AI solutions.

Ideal candidates have 5+ years in ML engineering or platform roles, strong Azure DevOps and Terraform experience, and hands-on Kubernetes/Docker expertise in AKS.