> Markdown version of [/jobs/ext/1417942-applied-ai-engineer-ml-infrastructure-engineer-devops-emea](https://www.wearedevelopers.com/jobs/ext/1417942-applied-ai-engineer-ml-infrastructure-engineer-devops-emea). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA - **Company:** Mistral Ai - **Location:** München, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, DevOps, Python (Programming Language), Open Source Technology, Reliability Engineering, Ansible, Tensorflow, Web Applications, Google Cloud, Pytorch, Backend, Containerization, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Machine Learning Operations, Front End Software Development, Hardware Infrastructure, Terraform, Docker - **Published:** July 24, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=bdefb70b40fb7982 ## About the Role * You are fluent in English * You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field * You have 2+ years of experience in a DevOps or Site Reliability Engineering role * You're experienced with deploying and managing AI-based products in production environments * You are fluent in Python * You have experience with containerization technologies such as Docker and Kubernetes * You have experience with CI/CD pipelines and automated deployment tools * You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure * You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible * You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences, * Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager * Familiarity with AI frameworks such as PyTorch or TensorFlow * Contributions to open-source projects, particularly in the space of DevOps or AI ## Description Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you'll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. What you will do * You'll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. * You'll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. * You'll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. * You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [The Great Reskilling - Who Wins in the AI Economy?](https://www.wearedevelopers.com/videos/100028-the-great-reskilling-who-wins-in-the-ai-economy) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)