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Applied AI, Forward Deployed Machine Learning Engineer - EMEA

Mistral - Paris, Île-de-France, France - In-office

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Mistral is seeking an Applied AI Engineer to bridge cutting-edge AI research with real-world enterprise applications. You'll work as a customer-facing technical expert, deploying production AI solutions across high-stakes industries including finance, manufacturing, defense, healthcare, and the public sector. In this role, you'll own end-to-end project execution, similar to a startup CTO. You'll help deploy GenAI applications with significant business impact, from consumer products to industrial use cases. Your responsibilities include: - Deploying production use cases with measurable business impact across various industries - Developing state-of-the-art GenAI applications and driving technological transformation with customers - Collaborating with researchers, AI engineers, and product engineers on complex projects involving fine-tuning, advanced LLM applications, and open-source contributions - Participating in pre-sales calls to understand client needs and provide technical guidance on Mistral's products and technologies - Working with product and science teams to improve capabilities based on customer feedback The Applied AI team operates with a startup mentality: low bureaucracy, high standards, direct feedback, and a focus on shipping results. You'll work in an unstructured, collaborative environment where the best idea wins regardless of seniority. Required qualifications: - 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - Proven experience implementing AI/ML products with APIs, back-end, and front-end interfaces - Experience with fine-tuning LLMs, advanced RAG, or agentic use cases - Deep understanding of ML and LLM concepts and algorithms - Strong Python coding skills - Fluent English and ability to explain complex concepts to technical and non-technical audiences Ideal candidates have contributed to open-source LLM projects, worked as a Customer/Forward Deployed/Sales Engineer or Solutions Architect, or have deep learning experience with PyTorch.

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