<p><strong>What role you will play in team:</strong> You'll be part of a team building cutting-edge machine learning solutions for financial applications.</p><p><strong>What you will do:</strong> Design, develop, and deploy machine learning models for various financial tasks, such as fraud detection and risk management.</p><p><strong>Key responsibility:</strong><ul><li>Design and develop machine learning models.</li><li>Deploy models to production environments.</li><li>Monitor model performance and make improvements.</li><li>Collaborate with data scientists and engineers.</li><li>Work with large datasets.</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>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning libraries such as TensorFlow or PyTorch.</li><li>Experience with cloud computing platforms such as AWS or Azure.</li><li>Excellent problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career growth.</li><li>Cutting-edge technology.</li><li>Collaborative work environment.</li><li>Global opportunities.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day will involve working on various projects that require you to develop, test, and deploy machine learning models.  You will also be involved in model monitoring and improvement.</p>