- You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
- 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 individually help deploy into production use cases with a considerable business impact across various industries.
- 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
- Fluent in English
- PhD / master in AI / data science.
- 2+ years as a technical individual contributor (machine learning engineer or data scientist or software engineer) on AI-based products
- Experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- Experience in MLOps and deploying Machine Learning use cases at scale
- Deep understanding of concepts and algorithms underlying machine learning and LLMs
- Experience building and deploying LLMs or NLP applications
- Proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- Strong technical coding skills in Python
- Experience in deep learning with Pytorch
- Experience with Agents framework such as Langchain, vector DBs
- Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager (preferred)
- You have contributed to open-source projects in particular in the space of LLMs (preferred)
- Daily lunch vouchers
- Contribution to a Gympass subscription
- Monthly contribution to a mobility pass
- Full health insurance for you and your family
- Generous parental leave policy