<p><b>What role you will play in team:</b>  Develop and implement machine learning solutions to improve fraud detection and risk management.</p><p><b>What you will do:</b> Design, build, and deploy machine learning models that enhance the security and efficiency of our systems.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for fraud detection.</li><li>Collaborate with engineers and data scientists to build robust and scalable solutions.</li><li>Optimize model performance and ensure accuracy.</li><li>Work with large datasets and apply appropriate data processing techniques.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Contribute to the development of innovative solutions.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>Extensive experience in machine learning and deep learning.</li><li>Proficiency in Python or Java and relevant libraries (TensorFlow, PyTorch).</li><li>Experience with cloud computing platforms (AWS, GCP, Azure).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li><li>Health Insurance.</li><li>Paid Time Off.</li></ul></p><p><b>A Day in the Life:</b> A day may involve model training, algorithm optimization, collaboration with cross-functional teams and staying abreast of industry trends.</p>