AI ENGINEER
- Windsor, ON
- Sur place
- Publié 2 sept. 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Intermédiaire · 2+ ans
- Postuler avant le
- 1 oct. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
Résumé du poste
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.
Détails du poste
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.
Ce que vous ferez
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.
Exigences
Requires expertise in Google Cloud Platform, MLOps pipelines, and cloud infrastructure deployment. Candidates should be proficient in Terraform, Kubernetes, and VPC networking.
Compétences indiquées
- Kubernetes · Souhaitée
- Terraform · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Gemini Enterprise
- Terraform
- Google Kubernetes Engine
- Virtual Private Cloud
- MLOps
- Machine Learning Engineering
- Google Cloud Platform
- Cloud Architecture
- Deployment
- Automation
- Infrastructure Management
- Kubernetes
- Data Science Collaboration
- Environmental Social And Corporate Governance (ESG)
- Pipelines
- MLOps (Machine Learning Operations)
- Google Kubernetes Engine (GKE)
- Resilience
- Google Cloud Platform (GCP)
- Digital Transformation
- Artificial Intelligence
- Cloud Computing Architecture
- Cloud Infrastructure
- Consulting
- Cyber Security
- Data Transformation
- Visual Workplaces
- Governance
- Scalability
- Machine Learning
- Lifecycle Management
Domaines d’emploi
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
- Artificial Intelligence Engineer
- Artificial Intelligence Engineer (General)
- Software Developers
D’autres postes auxquels postuler directement
Des possibilités semblables publiées par des employeurs qui recrutent sur Jobs.ca, sans formulaire externe.
Bédard Ressources Humaines
ITAD Services Representative #1265
CommanditéEmployeur directCandidature simplifiée- Sur place
- Mississauga, ON
- Publié 16 sept. 2026
BC Public Schools
Manager, Financial Planning and Analysis
CommanditéEmployeur directCandidature simplifiée- Sur place
- Victoria, BC
- Publié 18 sept. 2026
Bédard Ressources Humaines
Responsable d’expédition
CommanditéEmployeur directCandidature simplifiée- Sur place
- Mascouche, QC
- Publié 16 sept. 2026