<p><strong>What role you will play in team:</strong> You will work with a team of engineers to develop and deploy machine learning models for fraud detection.</p><p><strong>What you will do:</strong> You will design, build, and deploy machine learning models, monitor their performance, and continuously improve their accuracy.</p><p><strong>Key responsibility:</strong><ul><li>Design and implement machine learning algorithms for fraud detection.</li><li>Develop and deploy machine learning models to production environments.</li><li>Monitor model performance and make improvements.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science or a related field.</li><li>3+ years of experience in machine learning engineering.</li><li>Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.</li><li>Experience with cloud computing platforms such as AWS, Azure, or GCP.</li><li>Strong programming skills in Python or Java.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A challenging and rewarding work environment.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> Your day will be spent building, testing, and deploying machine learning models. You will also collaborate with your team members and monitor the performance of your models.</p>