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