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Mistral AI

Open-weight LLMs and enterprise AI deployment

Applied AI Intern - Forward Deployed Machine Learning Engineer

AI Application EngineeringConfirmed live in the last 24 hours
InternshipÎle-de-France, FranceNo salary listed

About the Job

Requirements

  • You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university.
  • You have strong programming skills in Python.
  • You are familiar with machine learning algorithms and natural language processing techniques.
  • You have a basic understanding of MLOps and deploying machine learning use cases.
  • You have good communication skills and the ability to explain technical concepts to both technical and non-technical audiences.
  • You must have the required work authorization to complete the internship in France for its full duration.

Responsibilities

  • Contribute to the deployment of state-of-the-art generative artificial intelligence applications, driving technological transformation with customers.
  • Collaborate with researchers, AI engineers, and product engineers on complex customer projects.
  • Work with the product and science team to continuously improve product and model capabilities based on customer feedback.

Desired Qualifications

  • Experience with deep learning frameworks such as PyTorch.
  • Familiarity with version control systems such as Git and the Linux shell environment.
  • Experience working in high-performance computing environments.
  • A publication record in AI or a related field.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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