<p><b>What role you will play in team:</b>  You will work within a team of engineers developing and implementing machine learning models for fraud detection.</p><p><b>What you will do:</b> You will design, develop, and deploy machine learning models to identify and prevent fraudulent activities.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other engineers to integrate models into existing systems.</li><li>Stay up-to-date on the latest developments in machine learning.</li><li>Work with large datasets and handle data efficiently.</li><li>Troubleshoot and debug machine learning models.</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 techniques.</li><li>Proficiency in programming languages such as Python or Java.</li><li>Familiarity with cloud platforms like AWS or Azure.</li><li>Excellent problem-solving and communication skills.</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>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Medical Insurance</li></ul></p><p><b>A Day in the Life:</b> A typical day would involve model development, testing, deployment, and collaboration with other engineers.</p>