Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

 

• 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.

 

 

• 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