<p><b>What role you will play in team:</b> You will contribute to the development and implementation of machine learning models for fraud detection.</p><p><b>What you will do:</b> You will design, build, and deploy machine learning models to improve the accuracy of fraud detection systems.</p><p><b>Key responsibility:</b><ul><li>Design, build, and deploy machine learning models for fraud detection.</li><li>Work with large datasets of financial transactions.</li><li>Develop and maintain data pipelines.</li><li>Monitor and optimize model performance.</li><li>Collaborate with other engineers and stakeholders.</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>Experience with machine learning algorithms and frameworks.</li><li>Proficiency in Python or Java.</li><li>Experience with cloud platforms.</li><li>Understanding of financial markets and fraud detection techniques.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work in a secure and stable environment.</li><li>Health Insurance.</li><li>Paid Time Off.</li></ul></p><p><b>A Day in the Life:</b> Your day will involve model building, testing, deployment, and collaboration with other engineers to protect our customers from fraud.</p>