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Staff Machine Learning Engineer for AI Product

AI / ML Engineer • Principal • On-site • Full-time • 📍 Paris

As a Staff Machine Learning Engineer on Qonto's AI Product team you build and ship customer-facing AI for 600,000+ business customers. You 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. You develop ML models end-to-end, build the ML Ops framework and raise the bar for the team.

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, aligning with Product Managers, Data Engineers and Backend Engineers
  • Build the ML Ops framework: model drift detection, performance tracking, automated retraining pipelines, monitoring and alerts
  • Put models into production with rigour, robust implementation, quality assurance and continuous monitoring, with no room for silent failures
  • Raise the bar for the team by sharing best practices, contributing to internal tooling and mentoring peers

Requirements

  • 6+ years as an ML Engineer with ML Ops experience, having deployed client-facing ML products end-to-end with measurable impact on real users
  • Modelling expertise for external customers, knowing when to use GenAI and when proven ML techniques are the better choice
  • Strong Python engineering: resilient, testable code at scale, proficient with FastAPI or similar, third-party integrations and database interaction in production
  • ML Ops fluency with tools that automate retraining, performance checking and drift detection, having built or significantly improved ML infrastructure
  • Fluent in English

Soft skills

Ownership from prototype to productionRigour and attention to reliabilityKnowledge sharing and mentoringCross-functional collaboration

What we offer

  • Customer-facing AI used directly by hundreds of thousands of business customers, with visible adoption metrics
  • A modern, flexible stack: Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor
  • A team of 10 AI Engineers and 3 Data Ops building AI at the core of fintech, not a side project
  • A clear individual contributor growth track with access to the latest AI technologies

About the company

Qonto is building Europe's leading finance workspace for SMEs, with banking at its core augmented by financial tools. Founded in 2017, it has grown to 1,600+ employees serving over 600,000 customers across 8 European countries, rated 4.8 on Trustpilot and profitable since 2023. The AI Product team works on customer-facing AI at the heart of Qonto's financial services.

Languages: Angol (folyékony)