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 have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
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 strong technical coding skills in Python.
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 LLMs.
Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
You have experience with deep learning with Pytorch.
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