Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer

About the role

Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.

Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback
• About you
• You are fluent in English
• You hold a PhD / master in AI / data science or you're self-made
• You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
• You have deployed or built products with large scale user based
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
• Ideally you have:
• Contributed to open-source projects in particular in the space of LLM
• Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist.

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