Senior Machine Learning Engineer

📋 Description Lead ML initiatives to enhance CX and fight fraud across Fraud, Technology, Product, Sales, and Design, train, and deploy advanced ML models in production to improve customer experience and 🎯 Requirements Strong background in probability, statistics, and algorithms for fraud detection. Expertise with ML frameworks (e.g., Keras, PyTorch). Experience deploying ML models on cloud platforms (AWS, GCP, or Azure). Knowledge of scalable ML systems and real-time deployment. Data modeling, data structures, and software architecture familiarity. Fraud detection techniques including anomaly detection and graph analytics. 🎁 Benefits Competitive salary and benefits package. Flexible work perks and learning opportunities. Wellbeing and employee resource groups. Prezzee staff discounts and birthday leave.