Staff Machine Learning Engineer for AI Product

Join us as a Staff Machine Learning Engineer on our AI Product team to build and ship customer-facing AI for 600,000+ business customers. You'll combine Generative AI with proven machine-learning techniques to create products with measurable impact — adoption, faster task completion, user satisfaction — while ensuring reliability, privacy, and continuous monitoring in production.

➡️ What you'll do

• Develop ML models end-to-end: From understanding product requirements to training, evaluating, and deploying models in production. You design, iterate, and ship — not just prototype.
• Integrate ML into the product ecosystem: Align with Product Managers, Data Engineers, and Backend Engineers to ensure your models are seamlessly embedded in Qonto's financial services.
• Build the ML Ops framework: Create the infrastructure for the team to scale — model drift detection, performance tracking, automated retraining pipelines, monitoring, and alerts.
• Put models into production with rigour: Robust technical implementation, quality assurance, and continuous monitoring. Client-facing AI in financial services has no room for silent failures.
• Raise the bar for the team: Share best practices, contribute to internal tooling improvements, and mentor peers across the ML team.

➡️ What we're looking for

• 6+ years as an ML Engineer with ML Ops experience: You've developed and deployed client-facing ML products end-to-end — not internal tools or dashboards. You can show measurable impact on real users.
• Modelling expertise: Experience building and optimising machine learning models for external customers. You know when to use GenAI and when proven ML techniques are the better choice.
• Strong Python engineering: You write resilient, testable code at scale. Proficient with FastAPI (or similar), third-party service integration, and database interaction in production.
• ML Ops fluency: Familiar with tools that automate model retraining, performance checking, and drift detection. You've built or significantly improved ML infrastructure before.
• Fluent in English: Qonto's working language.

➡️ What we can offer you

• Customer-facing AI with real impact: Your models will be used directly by hundreds of thousands of business customers. You'll see adoption metrics, not just offline evaluations.
• A modern, flexible stack: Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor. You have the freedom to test any tool as long as it helps reach the target.
• A team building AI at the core of fintech: 10 AI Engineers and 3 Data Ops working on innovative solutions at the heart of Qonto's financial services — not a side project.
• Clear IC growth track: Individual contributor career path for those who want to become deep experts in their field, with access to the latest AI technologies.

➡️ Your future manager