Machine Learning Ops Engineer (México)

Machine Learning Ops Engineer (México)

09 ago
|
Atos
|
México

09 ago

Atos

México

Machine Learning Ops Engineer

Locati on: remote from any state of Mexico

Langua ge: English

Key Responsibilities

- Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services.

- Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.

- Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance.

- Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPCnetworking.

- Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.

Required Skills

- Gemini Enterpise

- Terraform

- Google Kubernetes Engine (GKE)

- Virtual Private Cloud (VPC)

- MLOpsMachine Learning Engineering

- Google Cloud Platform (GCP)

- Cloud Architecture and Deployment Expertise

📌 Machine Learning Ops Engineer (México)
🏢 Atos
📍 México

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