Mistral AI · Paris · Hybrid

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

4/23/2026

Description

  • Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
  • Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
  • Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
  • Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
  • Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.

How we work in Applied AI

  • We care about people and outputs.
  • What matters is what you ship, not the time you spend on it
  • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
  • Always ask why. The best solutions come from deep understanding, not from copying what worked before
  • We say what we mean. Feedback is direct, timely, and given because we care.
  • No politics. Low ego, high standards.
  • We embrace an unstructured environment and find joy in it.

Qualifications

  • Fluent in English.
  • PhD or Master's in AI, Machine Learning, Computer Science, or related field.
  • 2+ years of experience in AI/ML
  • Proven track record of leading teams to deliver complex AI projects from prototyping to production.
  • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
  • Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.
  • Strong software engineering skills: API design, backend/full-stack development, system architecture.
  • Excels in technical communication with technical and non-technical audiences, including executives.
  • Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
  • Have experience with React or other frontend frameworks.
    • Have experience with Deep Learning in PyTorch
    • Contributed to open-source projects in the LLM or AI space.
    • Have experience in customer-facing roles with a focus on enterprise AI adoption.
• Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).

Application

View listing at origin and apply!

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