Responsibilities
- Develop conversational AI agents to ease client experience (cashflow insights, etc)
- Improve ML/genAI applications for business finance (transaction labelling, accounting)
- Explore greenfield ML/genAI applications for business finance
- Experiment with LLM approaches to improve OCR models
- Build proof of concepts for GenAI document matching applications
- Support production systems through data wrangling, labeling, and code tickets
- Work with modern ML stack: Python, SQL, LLMs, Snowflake, Airflow, AWS
- Collaborate with Product and Engineering teams
- Participate in team rituals
What you can expect
- Real impact on product decisions affecting Qonto's customers
- Modern tech stack including Python, Cursor, Snowflake, AWS, latest LLM frameworks
- Learning environment with weekly mentorship, exposure to experimental and production ML
- Strong learning and growth potential
Requirements
- Proficiency in Python & SQL
- Advanced ML skills
- Understanding of LLM/GenAI
- Academic background: M2 in Data Science, ML, AI, CS, Engineering, Math, Physics, or Natural Sciences
- High curiosity and hunger to learn
- Creative & experimental mindset
- English fluency (working language)
Nice to have
- Previous ML projects experience
- Interest in OCR/Computer Vision or Conversational AI
Work location and mode
- Based in Paris or Barcelona offices
- Hybrid work mode with 1 or 2 remote days per week depending on team and school allowance
