Senior Machine Learning Engineer

📋 Description Design, train, and deploy ML models to enhance CX and fight fraud. Collaborate with Fraud, Tech, Product, Sales, and Finance teams. Deploy and scale ML models in production, ensuring scalability and reliability. Stay at the forefront of ML/AI trends and innovation. 🎯 Requirements Strong background in probability, statistics, and algorithms for fraud detection. Expertise with ML frameworks (Keras, PyTorch). Experience deploying models on cloud platforms (AWS, GCP, Azure). Knowledge of scalable ML systems and real-time deployment. Familiarity with data structures, data modeling, and software architecture. Experience with fraud detection techniques (anomaly detection, graph analytics) and MLOps/CI/CD. 🎁 Benefits Competitive benefits and global team culture. Learning & Development opportunities. Flexible work perks and wellbeing support. Staff discounts, wellbeing resources, and parental leave.