Applied AI, Forward Deployed Machine Learning Engineer - EMEA

Mistral
Paris
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Communication","Customer engagement"]

Facilitate customer adoption of AI products by deploying production use cases across industries and working with enterprise teams from pre-sales through implementation. Build state-of-the-art GenAI applications using fine-tuning, advanced RAG, and agentic workflows, collaborating with researchers, product engineers, and contributing to open-source codebases for inference and fine-tuning. Provide technical guidance and improve product/model capabilities based on customer feedback.

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FursaFursa
Mistral
Mistral
2 months ago

Applied AI, Forward Deployed Machine Learning Engineer - EMEA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Facilitate customer adoption of AI products by deploying production use cases across industries and working with enterprise teams from pre-sales through implementation. Build state-of-the-art GenAI applications using fine-tuning, advanced RAG, and agentic workflows, collaborating with researchers, product engineers, and contributing to open-source codebases for inference and fine-tuning. Provide technical guidance and improve product/model capabilities based on customer feedback.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Individually deploy AI use cases into production with measurable business impact across industries.
  • •Develop and support state-of-the-art GenAI applications, including complex fine-tuning and LLM-based solutions.
  • •Collaborate with researchers, AI/product engineers on end-to-end customer projects and contribute to open-source codebases for inference and fine-tuning.
  • •Participate in pre-sales calls to understand customer needs and provide technical guidance on products and technologies.
  • •Use customer feedback to continuously improve product and model capabilities alongside the product and science teams.

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, including advanced RAG and agentic use cases.
  • •Deep understanding of machine learning and LLM concepts and algorithms.
  • •Strong Python coding skills and the ability to explain complex technical concepts to technical and non-technical audiences.
Experience:2+ yearsAIMachine learningLLMsRAGOpen source
Skills:CommunicationCustomer engagement
Languages:English
Tech Stack:PythonAPIsLLMsRAGFine-tuningAgenticPyTorchGenAIOpen-source

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