Machine Learning Engineer for Anomaly Detection

We are looking for a talented Machine Learning Engineer to lead the development of AI/ML models that detect financial anomalies. In this role, you will work closely with our product and AI leadership, independently delivering results while mentoring the engineering team.Expertise in data preprocessing, feature engineering, model development, and deployment of ML models in production environments is required. You should have experience with popular ML frameworks like TensorFlow, PyTorch, or Scikit-learn. A strong mathematical and analytical background, coupled with excellent problem-solving and communication skills, is essential.