Applied AI, Forward Deployed Machine Learning Engineer

Mistral
Munich
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Communication","Collaboration","Customer engagement","Problem-solving"]

Deploy production-ready GenAI and LLM applications with measurable business impact across industries, collaborating with researchers and product engineers on advanced fine-tuning, RAG, and agentic use cases. Work with the Applied AI team’s enterprise customers from pre-sales through implementation, providing technical guidance, explaining Mistral technologies, and improving product capabilities based on customer feedback.

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FursaFursa
Mistral
Mistral
1 month ago

Applied AI, Forward Deployed Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Deploy production-ready GenAI and LLM applications with measurable business impact across industries, collaborating with researchers and product engineers on advanced fine-tuning, RAG, and agentic use cases. Work with the Applied AI team’s enterprise customers from pre-sales through implementation, providing technical guidance, explaining Mistral technologies, and improving product capabilities based on customer feedback.
Location: Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Individually help deploy production use cases with business impact across industries.
  • •Build and ship state-of-the-art GenAI applications, from consumer products to industrial use cases.
  • •Collaborate on complex customer projects involving fine-tuning and advanced LLM application work, including contributions to open-source inference and fine-tuning.
  • •Participate in pre-sales calls to understand customer needs and provide technical guidance and product explanations.
  • •Partner with product and science teams to continuously improve product and model capabilities based on customer feedback.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
  • •Proven experience implementing AI/ML products with APIs and back-end/front-end interfaces.
  • •Experience fine-tuning LLMs and tackling advanced RAG or agentic use cases.
  • •Strong understanding of machine learning and LLM algorithms and underlying concepts.
  • •Strong Python coding skills and communication to explain complex technical concepts to technical and non-technical audiences.
Experience:2+ yearsAI-based productsGenAILLMsRAGAgentic use casesOpen source
Skills:CommunicationCollaborationCustomer engagementProblem-solving
Languages:English
Tech Stack:PythonAPIsLLMsGenAIRAGFine-tuningInferencePyTorch

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn