- Company Name
- Qonto
- Job Title
- Senior AI Engineer
- Job Description
-
Job Title: Senior AI Engineer
Role Summary: Design, develop, and production‑grade deploy end‑to‑end machine‑learning solutions that power customer‑facing AI features for a large financial services platform, ensuring reliability, privacy, and continuous monitoring.
Expectations: Deliver measurable impact on user experience; collaborate closely with product, data, and backend teams; maintain high‑quality code and robust MLOps pipelines; proactively improve processes and mentor peers; operate within a standards‑driven, privacy‑focused environment.
Key Responsibilities:
• Build and iterate ML models—from requirement analysis to training, evaluation, and deployment.
• Deploy models into production with rigorous testing, quality assurance, and secure integration with back‑end services.
• Engineer an end‑to‑end ML Ops framework: automated retraining, drift detection, performance monitoring, and alerting.
• Partner with Product Managers, Data Engineers, and Backend Engineers to embed models seamlessly into the product ecosystem.
• Share best practices, enhance internal tooling, and mentor junior team members.
• Ensure compliance with privacy regulations, system reliability, and continuous monitoring standards.
Required Skills:
• 3+ years of ML Engineering and MLOps experience on client‑facing products.
• Proficiency in Python, FastAPI (or similar), and scalable database integration.
• Hands‑on experience with Snowflake, Kafka, Prometheus, ArgoCD, Airflow, and GitHub.
• Strong modeling expertise: supervised/unsupervised learning, hyper‑parameter tuning, evaluation metrics.
• MLOps capabilities: model versioning, deployment, monitoring, automated retraining pipelines, performance tracking.
• Excellent problem‑solving, proactive improvement mindset, and strong communication skills.
• Fluent in English.
Required Education & Certifications:
• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Data Science, or related field.
• Relevant certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer) are a plus but not mandatory.