Atos Information Technology GmbHVerified Job Source

AI ENGINEER

Windsor, ON
On-site
Posted Sep 2, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Apply by: Oct 1, 2026
Posting language: English
Working hours: 40 hours per week

Job summary

Design, build, and deploy scalable machine learning solutions using Google Cloud services and Gemini Enterprise. Manage cloud infrastructure with Terraform and operate ML workloads on Google Kubernetes Engine.

Job details

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements. With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts. About Atos Group Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.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 VPC networking. Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions. Required Skills: Gemini Enterprise Terraform Google Kubernetes Engine (GKE) Virtual Private Cloud (VPC) MLOps Machine Learning Engineering Google Cloud Platform (GCP) Cloud Architecture and Deployment Expertise Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.

What you’ll do

Requirements

Requires expertise in Google Cloud Platform, MLOps pipelines, and cloud infrastructure deployment. Candidates should be proficient in Terraform, Kubernetes, and VPC networking.