Senior MLOps Engineer (Applied AI)

Requirements

• You are fluent in English,
• You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field,
• You have 5+ 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,
• (Desirable) Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager,
• (Desirable) Familiarity with AI frameworks such as PyTorch or TensorFlow,
• (Desirable) Contributions to open-source projects, particularly in the space of DevOps or AI

What the job involves

• 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, DevOps 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, DevOps 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