AI ENGINEER

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

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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 54,000 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.

Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), 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

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