<p><b>What role you will play in team:</b> As a Machine Learning Engineer, you'll be part of a team responsible for building and deploying machine learning models to improve various aspects of Mastercard's operations.</p><p><b>What you will do:</b> You'll work on the full lifecycle of machine learning projects, from data collection and preprocessing to model training, evaluation, and deployment. You will actively participate in model monitoring and maintenance for optimal performance.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models.</li><li>Work with large datasets and big data technologies.</li><li>Perform model evaluation and optimization.</li><li>Collaborate with data scientists and engineers.</li><li>Document code and processes.</li><li>Develop and maintain data pipelines.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in computer science, data science, or a related field.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch).</li><li>Proficiency in Python or Java.</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Excellent problem-solving and communication skills.</li><li>Experience with model deployment and monitoring.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits.</li><li>Opportunities for career growth.</li><li>A dynamic and collaborative work environment.</li><li>Hybrid work model.</li><li>Professional development opportunities.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve coding, model training, collaborating with other engineers, and attending meetings to discuss project progress and challenges.</p>