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Applied AI Engineer

Il y a 2 mois


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About the Role

Mistral AI is seeking a highly skilled German-speaking Applied AI Engineer to join our team. As a key member of our Applied AI Engineering team, you will play a crucial role in driving the successful deployment of our products and collaborating with customers to address complex technical challenges.

Key Responsibilities
  • Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning.
  • Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving technological transformation with our customers.
  • Deploy into production use cases with a considerable business impact across various industries.
  • Collaborate with our researchers, other AI engineers, and product engineers on complex customer projects involving fine-tuning, LLM applications, and open-source codebases.
  • Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders.
Requirements
  • Native/Bilingual in German and 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.
Benefits
  • 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.