ML Platform Engineer (Monterrey)

ML Platform Engineer (Monterrey)

13 ago
|
Johnson Controls
|
Monterrey

13 ago

Johnson Controls

Monterrey

Johnson Controls, a integral leader in thermal management, mission-critical
building systems, energy efficiency, and decarbonization, helps customers use
energy more productively, reduce carbon emissions, and operate with the
precision and resilience required in rapidly expanding industries such as data
centers, healthcare, pharmaceuticals, advanced manufacturing, and higher
education.

For more than 140 years, Johnson Controls has delivered performance where it
really matters. Backed by advanced technology, lifecycle services and an
industry-leading field organization, we elevate customer performance, turn goals
into real-world results and help move society forward. This role is pivotal in
enabling enterprise-scale ML and generative AI capabilities by building secure,
scalable, and automated infrastructure on Azure using Terraform and Azure
DevOps.

You’ll work at the intersection of ML, DevOps, and cloud engineering—building
the foundation that supports real-time LLM inference, retraining, orchestration,
and integration across JCI’s product and operations landscape.





How you will do it

ML Platform Engineering & MLOps (Azure-Focused)

* Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps
for CI/CD, testing, and release automation.

* Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude)
with a focus on automation, security, and scalability.

* Develop and manage infrastructure as code using Terraform, including
provisioning compute clusters (e.g., Azure Kubernetes Service, Azure Machine
Learning compute), storage, and networking.

* Implement robust model lifecycle management (versioning, monitoring, drift
detection) with Azure-native MLOps components.

Infrastructure & Cloud Architecture

* Design highly available and performant serving environments for LLM inference
using Azure Kubernetes Service (AKS) and Azure Functions or App Services.

* Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive
Se

📌 ML Platform Engineer (Monterrey)
🏢 Johnson Controls
📍 Monterrey

Postulate a este anuncio

Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: ml platform engineer (monterrey) / monterrey

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: ml platform engineer (monterrey) / monterrey