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Permanent

Applied AI Engineer, Use-case

London
money-bag Negotiable
F4477A538C0F4A88F36D579B671EF317
Posted 1 week ago

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.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 customersCollaborate with researchers, AI engineers, and product engineers on complex customer projectsWork with the product and science team to continuously improve our product and model capabilities based on customer feedbackAbout You

You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or universityYou have strong programming skills in PythonYou are familiar with machine learning algorithms and natural language processing techniquesYou hold basic understanding of MLOps and deploying machine learning use casesYou have good communication skills with the ability to explain technical concepts to both technical and non-technical audiencesIdeally, you have:Experience with deep learning frameworks such as PyTorchFamiliarity with version control systems (e.g., Git) and Linux shell environmentExperience working in HPC EnvironmentsPublication record in AI or a related fieldBenefits

Competitive salaryFood: Daily lunch vouchersSport: Monthly contribution to a Gympass subscriptionTransportation: Monthly contribution to a mobility pass

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