<p><strong>What role you will play in team:</strong>  You will be a core member of our team developing and deploying cutting-edge machine learning models for risk management and fraud detection.</p><p><strong>What you will do:</strong> You will design, implement, and maintain machine learning models, working closely with data scientists and engineers to ensure scalability and performance.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for various applications.</li><li>Work with large datasets to train and optimize models.</li><li>Collaborate with data scientists to develop effective algorithms.</li><li>Ensure model scalability and performance.</li><li>Monitor and maintain deployed models.</li><li>Contribute to the development of machine learning infrastructure.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science or a related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Experience with MLOps practices.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for career growth and advancement.</li><li>Collaborative and supportive work environment.</li><li>Hybrid work model.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve working on model training, optimization, deployment, or monitoring, collaborating with other engineers and data scientists to solve complex problems.</p>