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

**Company**: Mistral AI
**Location**: Paris
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/c7b7fdfe-a071-4d62-bc15-7bcdff8067e7
**Canonical**: https://yubhub.co/jobs/job_4de243bc-c94

## Description

## About the job

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.

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.

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.

## What you will do

- 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.

## About you

- 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.

## It would be great if you

- 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.

## Security & Compliance criteria

- Eligibility: must hold citizenship in the target territory (France for now).

- Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).

## Benefits

- Competitive cash salary and equity.

- Food: Daily lunch vouchers.

- Sport: Monthly contribution to a Gympass subscription.

- Transportation: Monthly contribution to a mobility pass.

- Health: Full health insurance for you and your family.

- Parental: Generous parental leave policy.

- Visa sponsorship.

## Skills

### Required
- Python
- PyTorch
- Modern AI frameworks
- Cloud platforms
- MLOps tools
- API design
- Backend/full-stack development
- System architecture

### Nice to have
- React
- Deep Learning in PyTorch
- Open-source projects in the LLM or AI space
- Customer-facing roles with a focus on enterprise AI adoption