Applied AI Engineer, Use-case - Paris (Internship)
Job Summary
Job Description
At Mistral AI, we are democratizing AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. You will contribute to the deployment of state-of-the-art GenAI applications and work with the product and science team to continuously improve our product and model capabilities based on customer feedback.
Must have:
- Pursuing a degree in AI, data science, or related field
- Strong programming skills in Python
- Familiarity with machine learning algorithms
- Familiarity with natural language processing techniques
- Basic understanding of MLOps
- Good communication skills
Good to have:
- Experience with deep learning frameworks like PyTorch
- Familiarity with version control systems (Git)
- Experience with Linux shell environment
- Experience in HPC Environments
- Publication record in AI or related field
Perks:
- Competitive salary
- Daily lunch vouchers
- Monthly contribution to a Gympass subscription
- Monthly contribution to a mobility pass
11 skills required
Job Details
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role Summary
As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 3 to 6 months. We are open to CIFRE programs as a continuation after the internship.
What you will do
• Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers.
• Collaborate with researchers, AI engineers, and product engineers on complex customer projects.
• Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.
About you
• 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 hold basic understanding of MLOps and deploying machine learning use cases.
• You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Ideally you have:
• Experience with deep learning frameworks such as PyTorch.
• Familiarity with version control systems (e.g., Git) and Linux shell environment.
• Experience working in HPC Environments
• Publication record in AI or a related field
Benefits
💰 Competitive salary
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gympass subscription
🚴 Transportation : Monthly contribution to a mobility pass
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