<p><b>What role you will play in team:</b> Develop and implement machine learning models for fraud detection and risk management.</p><p><b>What you will do:</b> Build, train, and deploy machine learning models to improve the accuracy and efficiency of our fraud detection systems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Design and implement data pipelines for model training.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Contribute to the development of innovative solutions for fraud detection.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Engineering or related field.</li><li>1-2 years of experience in machine learning.</li><li>Proficiency in Python or Java.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work from office.</li><li>A supportive work environment.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves building and testing machine learning models, collaborating with team members, and deploying models to production.</p>