<p><b>What role you will play in team:</b>  Design and implement machine learning models for fraud detection. Collaborate with a team of engineers and data scientists.</p><p><b>What you will do:</b> Develop and deploy machine learning models to detect fraudulent activities.  Monitor model performance and make improvements.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models for fraud detection.</li><li>Work with large datasets using big data technologies.</li><li>Monitor model performance and make improvements.</li><li>Collaborate with engineers and data scientists.</li><li>Stay up-to-date on the latest machine learning techniques.</li><li>Develop and maintain machine learning pipelines.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science or a related field.</li><li>Proficiency in Python or Java.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A challenging and rewarding work environment.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b> A typical day involves developing and deploying machine learning models, monitoring performance, collaborating with team members, and staying up-to-date on the latest technologies.</p>