Note: The job is a remote job and is open to candidates in USA. Atos is seeking an AI Engineer to develop and operate production-ready artificial intelligence solutions on Google Cloud. The role focuses on building scalable machine learning systems, managing MLOps pipelines and cloud infrastructure, deploying workloads on GKE, and collaborating with technical and business stakeholders.
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 (GKE)
- Virtual Private Cloud (VPC)
- MLOps
- Machine Learning Engineering
- Google Cloud Platform (GCP)
- Cloud Architecture and Deployment Expertise
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