<p><b>What role you will play in team:</b> You will be working with a team of experienced engineers building and improving our machine learning models used in fraud detection and risk management.</p><p><b>What you will do:</b> Your work will involve developing, training, and deploying machine learning models to identify and prevent fraudulent activities. You'll also be responsible for monitoring model performance and retraining models as needed.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk management.</li><li>Work with large datasets to identify patterns and anomalies.</li><li>Optimize model performance and accuracy.</li><li>Monitor and evaluate model performance regularly.</li><li>Collaborate with other engineers and stakeholders.</li><li>Stay up-to-date on the latest advances in machine learning and fraud detection.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Understanding of statistical modeling and machine learning algorithms.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li><li>Flexible work options.</li></ul></p><p><b>A Day in the Life:</b>  A typical day might involve model development, data analysis, performance monitoring, collaboration with the team, and researching new techniques in fraud detection.</p>