<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>4de243bc-c94</externalid>
      <Title>Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA</Title>
      <Description><![CDATA[<p><strong>About the job</strong></p>
<p>The Applied AI for Critical and Sovereign Institutions team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments.</p>
<p>We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence.</p>
<p>Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners.</p>
<p><strong>What you will do</strong></p>
<ul>
<li>Individually deploy AI solutions into production for use cases with significant operational and strategic impact.</li>
</ul>
<ul>
<li>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.</li>
</ul>
<ul>
<li>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.</li>
</ul>
<ul>
<li>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.</li>
</ul>
<ul>
<li>Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.</li>
</ul>
<p><strong>How we work in Applied AI</strong></p>
<ul>
<li>We care about people and outputs.</li>
</ul>
<ul>
<li>What matters is what you ship, not the time you spend on it.</li>
</ul>
<ul>
<li>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to.</li>
</ul>
<ul>
<li>The best idea wins, whether it comes from a principal engineer or someone in their first week.</li>
</ul>
<ul>
<li>Always ask why. The best solutions come from deep understanding, not from copying what worked before.</li>
</ul>
<ul>
<li>We say what we mean. Feedback is direct, timely, and given because we care.</li>
</ul>
<ul>
<li>No politics. Low ego, high standards.</li>
</ul>
<ul>
<li>We embrace an unstructured environment and find joy in it.</li>
</ul>
<p><strong>About you</strong></p>
<ul>
<li>Fluent in English.</li>
</ul>
<ul>
<li>PhD or Master&#39;s in AI, Machine Learning, Computer Science, or related field.</li>
</ul>
<ul>
<li>2+ years of experience in AI/ML.</li>
</ul>
<ul>
<li>Proven track record of leading teams to deliver complex AI projects from prototyping to production.</li>
</ul>
<ul>
<li>Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.</li>
</ul>
<ul>
<li>Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace).</li>
</ul>
<ul>
<li>Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.</li>
</ul>
<ul>
<li>Strong software engineering skills: API design, backend/full-stack development, system architecture.</li>
</ul>
<ul>
<li>Excels in technical communication with technical and non-technical audiences, including executives.</li>
</ul>
<ul>
<li>Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.</li>
</ul>
<p><strong>It would be great if you</strong></p>
<ul>
<li>Have experience with React or other frontend frameworks.</li>
</ul>
<ul>
<li>Have experience with Deep Learning in PyTorch.</li>
</ul>
<ul>
<li>Contributed to open-source projects in the LLM or AI space.</li>
</ul>
<ul>
<li>Have experience in customer-facing roles with a focus on enterprise AI adoption.</li>
</ul>
<p><strong>Security &amp; Compliance criteria</strong></p>
<ul>
<li>Eligibility: must hold citizenship in the target territory (France for now).</li>
</ul>
<ul>
<li>Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Competitive cash salary and equity.</li>
</ul>
<ul>
<li>Food: Daily lunch vouchers.</li>
</ul>
<ul>
<li>Sport: Monthly contribution to a Gympass subscription.</li>
</ul>
<ul>
<li>Transportation: Monthly contribution to a mobility pass.</li>
</ul>
<ul>
<li>Health: Full health insurance for you and your family.</li>
</ul>
<ul>
<li>Parental: Generous parental leave policy.</li>
</ul>
<ul>
<li>Visa sponsorship.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, PyTorch, Modern AI frameworks, Cloud platforms, MLOps tools, API design, Backend/full-stack development, System architecture, React, Deep Learning in PyTorch, Open-source projects in the LLM or AI space, Customer-facing roles with a focus on enterprise AI adoption</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Mistral AI</Employername>
      <Employerlogo>https://logos.yubhub.co/mistral.ai.png</Employerlogo>
      <Employerdescription>Mistral AI is a company that develops and provides AI technology for various industries. It has a presence in multiple countries and offers a range of products and services.</Employerdescription>
      <Employerwebsite>https://www.mistral.ai/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/mistral/c7b7fdfe-a071-4d62-bc15-7bcdff8067e7</Applyto>
      <Location>Paris</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
  </jobs>
</source>