AI ENGINEER

Atos
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud. Own MLOps pipelines for training, deployment, monitoring, and lifecycle management. Provision and automate compliant cloud infrastructure with Terraform, and run production ML workloads on GKE with secure VPC networking. Collaborate with data scientists, engineers, and stakeholders to deliver production-ready AI solutions.

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FursaFursa
Atos
Atos
2 days ago

AI ENGINEER

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud. Own MLOps pipelines for training, deployment, monitoring, and lifecycle management. Provision and automate compliant cloud infrastructure with Terraform, and run production ML workloads on GKE with secure VPC networking. Collaborate with data scientists, engineers, and stakeholders to deliver production-ready AI solutions.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

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 for 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.

Key Requirements

  • •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) using secure and optimized VPC networking.
  • •Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.
Tech Stack:Gemini EnterpriseGoogle Cloud servicesMLOpsMachine Learning EngineeringTerraformGoogle Kubernetes Engine (GKE)Virtual Private Cloud (VPC)Google Cloud Platform (GCP)Cloud Architecture and Deployment Expertise

Company Brief

Atos
Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bezons, France
Founded: 1997
WebsiteLinkedIn