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.

Responsibilities

Develop ML models end-to-end: from understanding product requirements to training, evaluating, and deploying models in production; Integrate ML into the product ecosystem: align with Product Managers, Data Engineers, and Backend Engineers to ensure models are seamlessly embedded in Qonto's financial services; Build the ML Ops framework: 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; Raise the bar for the team: share best practices, contribute to internal tooling improvements, and mentor peers across the ML team

Requirements

6+ years as an ML Engineer with ML Ops experience: developed and deployed client-facing ML products end-to-end and can show measurable impact on real users; Modelling expertise: experience building and optimising machine learning models for external customers and knowing when to use GenAI vs proven ML techniques; Strong Python engineering: 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, and have built or significantly improved ML infrastructure; Fluent in English

Benefits

Customer-facing AI with real impact; A modern, flexible stack: Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor; A team building AI at the core of fintech: 10 AI Engineers and 3 Data Ops; Clear IC growth track: individual contributor career path with access to the latest AI technologies; Unlimited access to the best AI tools