<p><b>What role you will play in team:</b> You will design, develop, and deploy machine learning models for fraud detection and risk management.</p><p><b>What you will do:</b> Work closely with data scientists and engineers to build scalable and reliable machine learning systems.</p><p><b>Key responsibility:</b><ul><li>Design and develop machine learning models for fraud detection.</li><li>Deploy and monitor models in production environments.</li><li>Evaluate and improve model performance.</li><li>Collaborate with data scientists and engineers.</li><li>Maintain and update existing models.</li><li>Ensure model accuracy and reliability.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science or a related field.</li><li>Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP).</li><li>Strong programming skills in Python.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Challenging and rewarding work environment.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b>  A day might involve model training, debugging, deployment, and performance monitoring.  Collaboration with other team members is essential.</p>