<p><b>What role you will play in team:</b> You'll be a key contributor to our fraud detection team developing and deploying machine learning models.</p><p><b>What you will do:</b> Design, develop and implement machine learning models to improve our fraud detection systems.</p><p><b>Key responsibility:</b><ul><li>Designing, developing and implementing machine learning algorithms.</li><li>Evaluating and improving the performance of existing models.</li><li>Working with large datasets.</li><li>Collaborating with engineers to deploy models into production.</li><li>Staying up-to-date with the latest advancements in machine learning.</li><li>Working on projects related to fraud detection and risk management.</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>Experience with machine learning libraries (e.g., TensorFlow, PyTorch).</li><li>Proficiency in Python or R.</li><li>Strong analytical and problem-solving skills.</li><li>Experience with cloud computing (AWS, Azure, GCP).</li><li>Experience in developing and deploying machine learning models is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Working on challenging and impactful projects.</li><li>Mentorship and guidance from experienced engineers.</li><li>A culture of innovation and collaboration.</li></ul></p><p><b>A Day in the Life:</b>A day may consist of model building, evaluation, deployment and troubleshooting issues.</p>