Staff Machine Learning Engineer for AI Engines
New
Q
QontoFintech
Workplace type: Remote; Listing location: Paris / Barcelona / Milan / BerlinFull-TimeStaff
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- Fluent in English
- Experience
- 6+ years as an ML Engineer with ML Ops experience
- Required Skills
- PythonMachine LearningFastAPIMLOpsGenerative AI
Requirements
- Bring 6+ years of experience as an ML Engineer with ML Ops experience.
- Have developed and deployed customer-facing ML products end-to-end.
- Demonstrate measurable impact on real users from deployed ML products.
- Build and optimize machine-learning models for external customers.
- Know when to use Generative AI and when to use proven machine-learning techniques.
- Write resilient, testable Python code at scale.
- Have experience with FastAPI or a similar framework.
- Have experience integrating third-party services and interacting with databases in production.
- Be familiar with tools for automated model retraining, performance checking, and drift detection.
- Have built or significantly improved ML infrastructure.
- Be fluent in English.
Responsibilities
- Develop ML models end-to-end, from understanding product requirements through training, evaluation, and production deployment.
- Integrate models into Qonto's financial services in collaboration with Product Managers, Data Engineers, and Backend Engineers.
- Build ML Ops infrastructure for model drift detection, performance tracking, automated retraining pipelines, monitoring, and alerts.
- Implement production models with quality assurance and continuous monitoring.
- Share best practices and contribute to internal tooling improvements.
- Mentor peers across the ML team.
View Full Description & ApplyYou'll be redirected to the employer's site
