<p><b>What role you will play in team:</b> As a Machine Learning Engineer, you'll be part of a team developing cutting-edge fraud detection systems. Your expertise will be critical to ensuring secure transactions.</p><p><b>What you will do:</b> You'll design, implement, and deploy machine learning models, and monitor their performance. You'll also collaborate with other engineers and data scientists.</p><p><b>Key responsibility:</b><ul><li>Design, implement, and deploy machine learning models for fraud detection.</li><li>Develop and maintain machine learning pipelines.</li><li>Monitor 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 advances in machine learning.</li><li>Contribute to the development of new machine learning algorithms.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python and TensorFlow/PyTorch.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Strong understanding of machine learning algorithms.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Chance to work on impactful projects.</li></ul></p><p><b>A Day in the Life:</b>  A typical day may include model development, testing, deployment, monitoring performance, and collaboration with team members.</p>