Forward Deployed Machine Learning Engineer (Applied AI for Critical and Sovereign Institutions)
PARIS, 75
il y a 4 jours
Requirements
- 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, Py
Torch, and modern AI frameworks (Lang
Chain, Hugging
Face). 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.
- (Desirable) Have experience with React or other frontend frameworks
- (Desirable) Have experience with Deep Learning in PyTorch
- (Desirable) Contributed to open‑source projects in the LLM or AI space
- (Desirable) Have experience in customer‑facing roles with a focus on enterprise AI adoption
What the job involves
- Mistral AI is seeking an Applied AI Engineer to join this team
- You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions
- Your work will directly contribute to projects with significant societal and operational impact
- 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
Entreprise
Mistral AI
Plateforme de publication
WHATJOBS
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