Machine Learning Ops Engineer (México)

Machine Learning Ops Engineer (México)

10 ago
|
Atos
|
México

10 ago

Atos

México

Machine Learning Ops Engineer

Location: remote from any state of Mexico
Language: 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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