AI Engineer — MLOps, GCP & Kubernetes Specialist

Atos SE; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Atos SE in the United States is seeking a senior ML Engineer to design and deploy scalable AI solutions. You will build ML pipelines, manage cloud infrastructure with Terraform, and run workloads on Google Kubernetes Engine with secure VPC networking.

The role collaborates with data scientists and engineers to deliver production-ready AI systems, leveraging Gemini Enterprise and Google Cloud Platform expertise for performance and security.

Qualifications

• Experience with Gemini Enterprise on GCP and Terraform automation.
• Hands-on with GKE for scalable ML workloads and secure VPC networking.
• Proficiency in MLOps practices, model lifecycle, monitoring and deployment.

Responsibilities

• Design, build, and deploy scalable ML solutions using Gemini Enterprise and Google Cloud services.
• Develop and maintain ML lifecycle pipelines for model training, deployment, and monitoring.
• Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance.
• Deploy and operate ML workloads on GKE with secure networking and cost optimization.
• Collaborate with data scientists, engineers, and 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 SE in the United States is seeking a senior ML Engineer to design and deploy scalable AI solutions. You will build ML pipelines, manage cloud infrastructure with Terraform, and run workloads on Google Kubernetes Engine with secure VPC networking.

The role collaborates with data scientists and engineers to deliver production-ready AI systems, leveraging Gemini Enterprise and Google Cloud Platform expertise for performance and security.