<p><b>What role you will play in team:</b>  Develop and implement machine learning models to improve customer experience.</p><p><b>What you will do:</b> You will be responsible for the entire machine learning lifecycle.</p><p><b>Key responsibility:</b><ul><li>Data collection and preprocessing</li><li>Feature engineering and selection</li><li>Model training and evaluation</li><li>Model deployment and monitoring</li><li>Collaboration with cross-functional teams</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in a quantitative field</li><li>Proficiency in Python or R</li><li>Experience with various machine learning algorithms</li><li>Strong communication and presentation skills</li><li>Experience with cloud platforms is a plus</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits</li><li>Opportunities for professional development</li><li>Dynamic and collaborative work environment</li><li>Flexible work arrangements</li></ul></p><p><b>A Day in the Life:</b>  A day involves working on different aspects of the ML lifecycle, including data exploration, model development, deployment, and monitoring, with plenty of collaboration.</p>