We are seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges.
What you'll 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.
What you need
- 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
