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machine learning engineer in fintech
Veröffentlicht am
- Arbeitsort
- 10115 Berlin, Berlin, Deutschland
Stellenbeschreibung
Описание
Qonto provides Europe's leading finance workspace for SMEs, with banking at its core and additional financial tools. Its AI team builds customer-facing AI products for business customers in financial services.
Задачи
- Develop machine learning models end-to-end, from understanding product requirements through training, evaluation, and production deployment
- Integrate machine learning into the product ecosystem 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
- Put models into production with robust technical implementation, quality assurance, and continuous monitoring
- Share best practices and contribute to internal tooling improvements
- Mentor peers across the ML team
Требования
- 6+ Years of experience as an ML Engineer with ML Ops experience
- Experience developing and deploying client-facing ML products end-to-end with measurable impact on real users
- Experience building and optimising machine learning models for external customers
- Ability to choose between Generative AI and proven machine-learning techniques
- Strong Python engineering skills and experience writing resilient, testable code at scale
- Proficiency with FastAPI or similar frameworks, third-party service integration, and database interaction in production
- Experience with tools for automated model retraining, performance checking, and drift detection
- Experience building or significantly improving ML infrastructure
- Fluent English
Условия
- Customer-facing AI products used by hundreds of thousands of business customers
- Modern stack including Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, and Cursor
- Freedom to test tools that help reach the target
- Team of 10 AI Engineers and 3 Data Ops specialists
- Individual contributor career path with access to the latest AI technologies
- The hiring process lasts 20 working days on average