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# Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

- **Company:** Mistral Inc
- **Location:** Paris, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, DevOps, Python (Programming Language), Open Source Technology, Reliability Engineering, Ansible, Graphics Processing Unit (GPU), Google Cloud, Backend, Deployment Automation, Machine Learning Operations, Front End Software Development, Hardware Infrastructure, Software Coding, Terraform, Docker
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/applied-ai-engineer-ml-infrastructure-engineer-devops-emea-paris-tx-usa-58850768

## About the Role

leave Tasks * 2+ years in DevOps or Site Reliability Engineering * Experience deploying AI-based products in production * Fluent in Python * Experience with Docker and Kubernetes * CI/CD pipeline experience and automated deployment tools * Deep understanding of cloud platforms (AWS, Azure, GCP) and on-prem infrastructure * Infra as code tools such as Terraform or Ansible * Strong communication skills to explain complex concepts to diverse audiences Key requirements * healthcare coverage * parental leave * retirement plans * relocation support * wellness programs * meal and transportation allowances

## Description

Experteer Overview As an Applied AI Engineer in ML Infra, you enable production-grade AI solutions for customers. You'll onboard clients, guide deployment, and ensure robust production environments from GPUs to front-end interfaces. You'll deploy state-of-the-art AI applications across industries, collaborating with researchers, engineers, and customers to drive real transformation. This role combines hands-on engineering with customer-facing strategy in a fast-growing, collaborative AI company. Compensation / Benefits * Onboard customers and guide deployment and integration of our products * Design and implement production-ready AI deployments from GPU stack to backend/frontend interfaces * Collaborate with researchers, AI engineers, and product teams on complex projects including inference and fine-tuning * Contribute to open-source codebases related to deployment, scaling, and model serving * Engage in pre-sales conversations to understand client needs and articulate technical solutions Tasks * 2+ years in DevOps or Site Reliability Engineering * Experience deploying AI-based products in production * Fluent in Python * Experience with Docker and Kubernetes * CI/CD pipeline experience and automated deployment tools * Deep understanding of cloud platforms (AWS, Azure, GCP) and on-prem infrastructure * Infra as code tools such as Terraform or Ansible * Strong communication skills to explain complex concepts to diverse audiences Key requirements * healthcare coverage * parental leave * retirement plans * relocation support * wellness programs * meal and transportation allowances


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