AI Engineer: MLOps, GKE & Terraform in Cloud

Atos SE; Windsor (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Atos SE is actively seeking a Senior ML Engineer to design, build and deploy scalable AI solutions using Gemini Enterprise and Google Cloud services. The role focuses on developing and maintaining MLOps pipelines, provisioning cloud infrastructure with Terraform, and ensuring secure, compliant deployment across GKE.

The successful candidate will collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.

Qualifications

• Experience deploying production ML solutions in cloud environments.
• Familiarity with Gemini Enterprise and GCP tooling.
• Strong background in cloud-native ML pipelines and security.

Responsibilities

• Design, build, and deploy scalable machine learning solutions.
• Develop and maintain ML pipelines for training, deployment, and monitoring.
• Provide Terraform-driven cloud infrastructure automation and governance.
• Collaborate with data scientists, engineers, and business stakeholders.

Skills

Gemini Enterprise

Terraform

Google Kubernetes Engine

VPC

MLOps

Machine Learning Engineering

Google Cloud Platform

Cloud Architecture

Tools

Terraform

Google Kubernetes Engine

Google Cloud Platform

MLOps tooling

Job description

Atos SE is actively seeking a Senior ML Engineer to design, build and deploy scalable AI solutions using Gemini Enterprise and Google Cloud services. The role focuses on developing and maintaining MLOps pipelines, provisioning cloud infrastructure with Terraform, and ensuring secure, compliant deployment across GKE.

The successful candidate will collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.