Senior Machine Learning Engineer – AI Product
Qonto
full-time
Posted on:
Location Type: Remote
Location: France
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Job Level
Tech Stack
About the role
- Develop new models end-to-end, from understanding product requirements to implementation and deployment.
- Align with various stakeholders, including Product Managers, Data Engineers, and Backend Engineers to ensure seamless integration of ML solutions into the product ecosystem.
- Develop models: design, train, evaluate, and iterate on ML models using modern techniques tailored to real business problems.
- Put models into production with robust technical implementation and quality assurance processes.
- Create an ML Ops framework for the team to ensure our models scale effectively with proper monitoring and alerts (e.g., model drift detection, performance tracking, automated retraining pipelines).
- Share best practices within the ML team, contributing to internal knowledge, tooling improvements, and mentoring peers.
Requirements
- 3+ years of experience ML Engineer coupled with ML Ops, particularly in developing client-facing products.
- Experience building and optimizing machine learning models for external clients.
- Proficient at writing resilient, high-quality, testable code in Python
- Understanding of FastAPI or a similar web framework.
- Proven track record of identifying complex problems and implementing effective solutions in machine learning contexts.
- Proactivity to improve processes
- Fluency in English
Benefits
- Unlimited access to the best AI tools on the market
- Opportunities for growth as individual contributor
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningML Opsmodel developmentmodel evaluationmodel deploymentPythonFastAPIautomated retraining pipelinesmodel drift detectionperformance tracking
Soft Skills
proactivityproblem-solvingmentoringcommunicationcollaboration