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.

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.

Qualifications

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

Application

View listing at origin and apply!

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