<p><b>What role you will play in team:</b> You will be a key member of our machine learning team, focusing on fraud detection and prevention.</p><p><b>What you will do:</b> You will develop and deploy machine learning models to identify and mitigate fraudulent transactions.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for fraud detection and prevention.</li><li>Perform data analysis and feature engineering to improve model performance.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to integrate models into production systems.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in computer science, data science, or a related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch).</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>A dynamic and collaborative work environment.</li><li>Hybrid working model.</li></ul></p><p><b>A Day in the Life:</b>  Your day will involve model development, data analysis, collaboration with engineers, and monitoring model performance in a fast-paced environment.</p>