<p><strong>What role you will play in team:</strong> Design, develop, and deploy machine learning models for fraud detection and risk management.</p><p><strong>What you will do:</strong> Work with large-scale datasets and build robust, scalable solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Build and maintain data pipelines for model training and deployment.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Collaborate with other engineers to build scalable and robust solutions.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science or a related field.</li><li>Proficiency in Python or Java.</li><li>Experience with machine learning libraries such as TensorFlow or PyTorch.</li><li>Experience with cloud computing platforms (AWS, GCP, Azure).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Dynamic and collaborative work environment.</li></ul></p><p><strong>A Day in the Life:</strong> A day involves model building, testing, and deployment, collaborating with engineers, and contributing to the improvement of our fraud detection systems.</p>