Staff Machine Learning Engineer For Ai Product

We are creating freedom for SMEs to succeed by delivering Europe’s leading finance workspace with banking at its core, complemented by financial tools.Founded in ** by Alexandre and Steve, Qonto has grown to 1,600+ employees and serves over 600,000 customers across 8 European countries.We hire for skills and potential, with a diverse workforce - 45% of employees are women and 56% of women are in leadership.AI is deeply embedded in how we work.Every Qontoer gets unlimited access to the best AI tools.We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.Join us as a Staff Machine Learning Engineer on the 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, while ensuring reliability, privacy, and continuous monitoring in production.Report to Marianne, Head of AI Products, and join a team of 8 AI Engineers and 3 Data Ops.What You’ll DoDevelop ML models end?to?end: from product requirements to training, evaluation, and deployment.Integrate models into the product ecosystem, working with Product Managers, Data Engineers, and Backend Engineers.Build the ML Ops framework, including model drift detection, performance tracking, automated retraining pipelines, monitoring, and alerts.Ensure rigorous production implementation, QA, and continuous monitoring, meeting the high reliability standards of financial services.Raise the bar for the team by sharing best practices, contributing to internal tooling, and mentoring peers.What We’re Looking For6+ years as an ML Engineer with ML Ops experience; proven client?facing product deployments and measurable impact.Modeling expertise: building and optimising machine?learning models for external customers, with knowledge of when to use Generative AI versus traditional ML.Strong Python engineering skills; resilient, testable code, FastAPI (or similar), third?party integration, and production?grade database interaction.ML Ops fluency: familiarity with automated retraining, performance checks, and drift detection tools; experience building or improving ML infrastructure.Fluent in English, the company’s working language.What We Can Offer YouCustomer?facing AI with direct impact on hundreds of thousands of users, measurable adoption metrics.A modern, flexible stack: Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor.A focused AI team of 8 engineers and 3 data ops working on core fintech products.A clear individual?contributor growth track with access to the latest AI technologies.Future ManagerMarianne, Head of AI Products, will be your manager.At Qonto, we understand that true diversity isn’t just about ticking boxes.Apply regardless of the boxes you tick - you may have the missing piece we’ve been searching for.By applying, you agree that Qonto processes your personal data to assess your application.Your data is kept for up to 2 years in our candidate pool.Read our Privacy Notice for full details.On average, our hiring process lasts 20 working days.#J-***-Ljbffr

6+ years as an ML Engineer with ML Ops experience; proven client?facing product deployments and measurable impact. Modeling expertise: building and optimising machine?learning models for external customers, with knowledge of when to use Generative AI versus traditional ML. Strong Python engineering skills; resilient, testable code, FastAPI (or similar), third?party integration, and production?grade database interaction. ML Ops fluency: familiarity with automated retraining, performance checks, and drift detection tools; experience building or improving ML infrastructure. Fluent in English, the company’s working language.

Customer?facing AI with direct impact on hundreds of thousands of users, measurable adoption metrics. A modern, flexible stack: Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor. A focused AI team of 8 engineers and 3 data ops working on core fintech products. A clear individual?contributor growth track with access to the latest AI technologies. Future Manager Marianne, Head of AI Products, will be your manager. At Qonto, we understand that true diversity isn’t just about ticking boxes. Apply regardless of the boxes you tick - you may have the missing piece we’ve been searching for. By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details. On average, our hiring process lasts 20 working days. #J-*****-Ljbffr

Barcelona, España

We are creating freedom for SMEs to succeed by delivering Europe’s leading finance workspace with banking at its core, complemented by financial tools. Founded in ** by Alexandre and Steve, Qonto has grown to 1,600+ employees and serves over 600,000 customers across 8 European countries. We hire for skills and potential, with a diverse workforce - 45% of employees are women and 56% of women are in leadership. AI is deeply embedded in how we work. Every Qontoer gets unlimited access to the best AI tools.