AI Engineer — MLOps & Cloud Platform Architect

Atos; Troy (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

Atos is seeking a ML engineer to design, build, and deploy scalable AI solutions on Gemini Enterprise and Google Cloud. You will develop end-to-end ML pipelines, manage production models, and ensure secure, compliant cloud infrastructure using Terraform and VPC networking.

Work with data scientists, software engineers, and stakeholders to deliver production-ready AI capabilities across critical environments. Prior experience with cloud-native ML workflows is preferred.

Qualifications

• Experience with Gemini Enterprise, Terraform, and GKE for ML workloads.
• Hands-on with VPC, cloud networking, and secure deployment pipelines.
• Proficiency in MLOps and ML engineering for production-grade AI solutions.

Responsibilities

• Design, build, and deploy scalable ML solutions using Gemini Enterprise and Google Cloud services.
• Develop and maintain ML pipelines for training, deployment, monitoring, and lifecycle management.
• Provision and manage cloud infrastructure with Terraform and secure VPC networking.

Skills

Gemini Enterprise

Terraform

GKE

VPC

MLOps

ML Engineering

GCP

Cloud Architecture

Job description

Atos is seeking a ML engineer to design, build, and deploy scalable AI solutions on Gemini Enterprise and Google Cloud. You will develop end-to-end ML pipelines, manage production models, and ensure secure, compliant cloud infrastructure using Terraform and VPC networking.

Work with data scientists, software engineers, and stakeholders to deliver production-ready AI capabilities across critical environments. Prior experience with cloud-native ML workflows is preferred.