Senior Machine Learning Engineer for AI Product

Our platform simplifies banking and finance management for SMEs, giving them the tools to build the future of their businesses. We provide a finance‑management platform with banking at its core, enhanced by innovative financial tools. Qonto is proud to be rated 4.8 on Trustpilot based on over 53,000 reviews and to serve more than 600,000 customers across eight European countries.

Position: Senior Machine Learning Engineer – AI Product Team

As a Machine Learning Engineer on our AI Product team, you will build and ship customer‑facing AI products that serve 500,000+ business customers. You’ll deliver measurable impact—adoption, faster task completion, and user satisfaction—while ensuring reliability, privacy, and continuous monitoring in production.

Responsibilities

• Develop new models end‑to‑end, from product requirements to implementation and deployment.
• Align with Product Managers, Data Engineers, and Backend Engineers to ensure seamless integration of ML solutions into the product ecosystem.
• Design, train, evaluate, and iterate on ML models using modern techniques tailored to real business problems.
• Deploy models in production with robust technical implementation and quality assurance processes.
• Create an ML‑Ops framework that ensures scalability, proper monitoring, and automated retraining pipelines (e.g., model drift detection, performance tracking).
• Share best practices and mentor peers, contributing to internal knowledge and tooling improvements.

What you can expect

• Direct, visible impact on Qonto’s users and experience.
• A modern tech stack—including Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS tools, Prometheus, ArgoCD, and GitHub—with the freedom to experiment with new tools.
• Clear individual‑contributor growth opportunities and the chance to work on the latest AI innovations.

About You

• 3+ years of experience as a Machine Learning Engineer with a focus on ML‑Ops and developing client‑facing products.
• Strong modeling expertise and experience building and optimizing machine learning models for external clients.
• Proficient in writing resilient, high‑quality, testable Python code, and experienced with web frameworks such as FastAPI.
• Proven ability to diagnose complex problems and implement effective solutions in machine learning contexts.
• Proactive mindset: you improve processes before problems arise.
• Fluent in English.

Your Future Manager

Marianne Ducournau, Head of Data Products, will be your manager. With experience leading data science teams in the finance sector, Marianne brings hands‑on expertise in building models for cross‑functional teams and a passion for mentoring.

Hiring Process

• Interviews with Talent Acquisition and future managers (1 hour each).
• A remote or live exercise to demonstrate your skills and give you a taste of working at Qonto.

On average, our process takes 20 working days. For more information, see our candidate journey.

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We understand that true diversity is more than ticking boxes on a hiring checklist. Apply regardless of the boxes you tick—your unique perspective might be exactly what we’re looking for.