Applied Ai, Senior/staff Forward Deployed Machine Learning Engineer - Munich

Mistral AI Mistral AI · AI Frontier · Munich, Germany · Business

Mistral AI is hiring an Applied AI Engineer in Munich to deploy their AI products for enterprise customers. This role involves working with customers from pre-sale to post-implementation, building complex GenAI applications, fine-tuning models, and contributing to open-source codebases. The engineer will also collaborate with research and product teams and be involved in pre-sales calls.

What you'd actually do

  1. You’ll individually help deploy into production use cases with a considerable business impact across various industries.
  2. 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.
  3. 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.
  4. 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.
  5. Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

Skills

Required

  • Fluent in English
  • PhD / master in AI / data science or self-made
  • 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
  • Experience in Fine Tuning LLMs
  • Experience tackling advanced RAG or agentic use cases
  • Deep understanding of concepts and algorithms underlying machine learning and LLMs
  • Deep understanding of Cloud Infrastructure and how to deploy AI based products
  • Deployed or built products with large scale user based
  • Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Nice to have

  • Contributed to open-source projects in particular in the space of LLM
  • Experience as a Forward Deployed Engineer
  • Experience as a Staff Engineer Machine Learning Engineer
  • Experience as a Staff Data Scientist

What the JD emphasized

  • 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
  • experience in Fine Tuning LLMs
  • tackling advanced RAG or agentic use cases
  • deployed or built products with large scale user based

Other signals

  • customer-facing
  • production deployment
  • enterprise use cases
  • fine-tuning
  • RAG
  • agents