Teams at Bree

Work on designing, training, and deploying scalable ML models for credit risk, fraud detection, and personalization. Build ML pipelines for low-latency inference, automate experimentation and hyperparameter tuning, support full ML lifecycle (feature engineering, evaluation, A/B testing, monitoring for drift), and experiment with deep learning and reinforcement learning techniques while ensuring compliance and scalability in a fast-growing FinTech.

Design and implement infrastructure solutions for reliable, scalable data-intensive systems, optimize PostgreSQL databases, and enforce Infrastructure as Code best practices.

Own full-cycle technical recruiting for engineering and product roles: source passive candidates, build scalable hiring processes (with AI), manage candidate experience, provide data-driven talent insights, and strengthen employer brand.