Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA

Mistral
Paris
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: mastersSkills: ["Technical communication","Collaboration","Mentoring","Problem-solving","Compliance-minded"]

Design, implement, and deploy applied GenAI systems for critical infrastructure and sovereign institutions. You’ll take AI solutions into production, build advanced fine-tuning and LLM applications (including RAG and agentic systems), and collaborate with researchers, AI engineers, and product teams. The role also involves customer-facing pre-sales technical support and continuous improvement focused on security, compliance, and performance.

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FursaFursa
Mistral
Mistral
2 months ago

Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, 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

Design, implement, and deploy applied GenAI systems for critical infrastructure and sovereign institutions. You’ll take AI solutions into production, build advanced fine-tuning and LLM applications (including RAG and agentic systems), and collaborate with researchers, AI engineers, and product teams. The role also involves customer-facing pre-sales technical support and continuous improvement focused on security, compliance, and performance.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Individually deploy AI solutions into production for high-impact operational use cases.
  • •Develop state-of-the-art GenAI applications tailored to sovereign institutions and critical infrastructure.
  • •Collaborate with researchers, AI engineers, and product teams on fine-tuning, LLM applications, and inference/fine-tuning contributions to open-source codebases.
  • •Participate in pre-sales discussions to provide technical guidance to potential clients.
  • •Improve offerings with product and science teams based on customer feedback, focusing on security, compliance, and performance.

Pay and Benefits

Perks:Health InsuranceParental LeaveRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •2+ years of experience in AI/ML.
  • •PhD or Master’s in AI, Machine Learning, Computer Science, or a related field.
  • •Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
  • •Proficiency in Python and PyTorch, plus modern AI frameworks such as LangChain and HuggingFace.
  • •Strong software engineering skills (API design, backend/full-stack development, system architecture).
Experience:2+ yearsAI/MLGenAIOpen sourceEnterprise AI adoption
Education:Master's in AI, Machine Learning, Computer Science
Skills:Technical communicationCollaborationMentoringProblem-solvingCompliance-minded
Languages:English
Tech Stack:PythonPyTorchLangChainHuggingFaceAWSGCPAzureReactLLMsRAGAgentic systemsNLPMLOpsAPI designBackendFull-stackSystem architecture

Eligibility

Nationality:France National
Security Clearance:High-level security clearance

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