AI Engineer — MLOps, GKE & Cloud Infra Specialist

Atos-North America; Troy (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Atos seeks an AI/ML Engineer to design, deploy and operate scalable ML solutions using Gemini Enterprise and Google Cloud services. You will manage MLOps pipelines, cloud infrastructure via Terraform, and secure GKE deployments within VPCs.

Collaborate with data scientists, engineers and stakeholders to deliver production-ready AI solutions in a fast-paced environment. Strong cloud and ML lifecycle experience is essential.

Qualifications

• Experience designing, building, and deploying ML solutions in production.
• Strong knowledge of cloud platforms (GCP) and ML lifecycle tooling.
• Familiarity with Terraform-based infrastructure provisioning.

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

Skills

Gemini Enterprise

Terraform

Google Kubernetes Engine

VPC

MLOps

Machine Learning Engineering

Google Cloud Platform

Cloud Deployment

Tools

GKE (Google Kubernetes Engine)

Terraform

Google Cloud Platform

Job description

Atos seeks an AI/ML Engineer to design, deploy and operate scalable ML solutions using Gemini Enterprise and Google Cloud services. You will manage MLOps pipelines, cloud infrastructure via Terraform, and secure GKE deployments within VPCs.

Collaborate with data scientists, engineers and stakeholders to deliver production-ready AI solutions in a fast-paced environment. Strong cloud and ML lifecycle experience is essential.