Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

Mistral; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Mistral in Paris is seeking an Applied AI Engineer with a strong DevOps background to assist customers in deploying AI solutions effectively. In this role, you'll onboard clients, deploy cutting-edge AI applications, and collaborate on complex projects, ensuring robust implementations.

The ideal candidate holds a degree in Computer Science or Engineering and has at least 2 years of relevant experience along with strong communication skills. Join us and help drive technological transformations across various industries.

Qualifications

• 2+ years of experience in DevOps or Site Reliability Engineering.
• Experience with deploying and managing AI‑based products in production.
• Strong understanding of cloud platforms and on-premises infrastructure.

Responsabilités

• Onboard customers and provide guidance on product integration.
• Deploy AI applications from consumer to industrial use cases.
• Collaborate on customer projects involving deployment and scaling.
• Participate in pre-sales calls to understand clients’ needs.

Connaissances

Fluent in English

DevOps experience

Python proficiency

Containerization (Docker, Kubernetes)

CI/CD pipelines

Cloud platforms (AWS, Azure, GCP)

Infrastructure as Code (Terraform, Ansible)

Communication skills

Formation

Bachelor's or Master’s in Computer Science, Engineering, or related

Description du poste

About the Job

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 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!

What you will do

• 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 with our customers a crucial technological transformation.
• Collaborate with 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.
• Participate in pre‑sales calls to understand potential clients’ needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders.

About you

• Fluent in English.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in a DevOps 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.

Ideally you have:

• 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.