<p><strong>What role you will play in team:</strong> Design, develop, and deploy machine learning models to improve fraud detection and risk management systems.</p><p><strong>What you will do:</strong> Collaborate with engineers and data scientists to build and maintain machine learning pipelines, and evaluate model performance.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for fraud detection, risk assessment, and other applications.</li><li>Develop and maintain machine learning pipelines using tools such as TensorFlow or PyTorch.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers and data scientists to build and maintain machine learning infrastructure.</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 or Ph.D. in Computer Science, Machine Learning, or a related field.</li><li>3+ years of experience in developing and deploying machine learning models.</li><li>Proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>A collaborative and innovative work environment.</li><li>Access to cutting-edge technology and resources.</li><li>A chance to make a significant impact on a global company.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves designing, building, testing, and deploying machine learning models to address real-world business problems.</p>