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

About Mistral

At Mistral AI, we simplify tasks, save time, and enhance learning and creativity with AI. Our technology integrates seamlessly into daily work.

Mistral AI seeks an Applied AI Engineer focused on Dev Ops to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

• Onboard 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.
• Deploy state‑of‑the‑art AI applications from consumer products to industrial use cases, driving crucial technological transformation with customers.
• Collaborate with researchers, other AI engineers, and product engineers on complex customer projects involving deployment, scaling, and contributing to open‑source codebases for tasks such as inference and fine‑tuning.
• Participate in pre‑sales calls to understand potential clients’ needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

• Fluent in English.
• Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Have 2+ years of experience in a Dev Ops or Site Reliability Engineering role.
• Experienced with deploying and managing AI‑based products in production environments.
• Fluent in Python.
• Experience with containerization technologies such as Docker and Kubernetes.
• Experience with CI/CD pipelines and automated deployment tools.
• Deep understanding of cloud platforms (AWS, Azure, GCP) and on‑premises infrastructure.
• Experience with infrastructure as code (IaC) tools such as Terraform or Ansible.
• 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 Tensor Flow.
• Contributions to open‑source projects, particularly in the space of Dev Ops or AI.

By applying, you agree to our Applicant Privacy Policy.