AI Engineer – Cloud-Native ML & MLOps

Atos

Windsor

On-site

CAD 90,000 - 160,000

Full time

9 days ago
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Job summary

Atos in Windsor, Ontario is seeking an experienced ML Engineer to design, build and deploy scalable AI solutions on Gemini Enterprise and Google Cloud, collaborating with data scientists and engineers to deliver production-ready models.

You will develop and maintain MLOps pipelines for training, deployment and monitoring; provision cloud infrastructure with Terraform; and deploy workloads on GKE with secure VPC networking, ensuring automation and compliance.

Qualifications

  • Experience designing ML solutions on cloud platforms.
  • Strong knowledge of MLOps pipelines and deployment workflows.
  • Proficiency with Terraform for automated cloud provisioning.
  • Hands-on experience with GKE and VPC networking.

Responsibilities

  • Design, build, and deploy scalable ML 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 (GKE)
Virtual Private Cloud (VPC)
MLOps
Machine Learning Engineering
Google Cloud Platform (GCP)
Cloud Architecture and Deployment

Job description

Atos in Windsor, Ontario is seeking an experienced ML Engineer to design, build and deploy scalable AI solutions on Gemini Enterprise and Google Cloud, collaborating with data scientists and engineers to deliver production-ready models.

You will develop and maintain MLOps pipelines for training, deployment and monitoring; provision cloud infrastructure with Terraform; and deploy workloads on GKE with secure VPC networking, ensuring automation and compliance.

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