<p><b>What role you will play in team:</b> You will be a vital member of our team, contributing to the development and implementation of machine learning models for music recommendation. </p><p><b>What you will do:</b> You'll work closely with senior data scientists to build and improve our recommendation algorithms, using large datasets and advanced techniques. </p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for music recommendation.</li><li>Analyze large datasets to identify trends and insights.</li><li>Collaborate with engineers to deploy models into production.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Currently pursuing a Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive internship stipend.</li><li>Mentorship from experienced data scientists.</li><li>Opportunities to learn and grow your skills.</li><li>Exposure to cutting-edge technologies and projects.</li><li>Networking opportunities.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve working on a specific machine learning project, analyzing data, developing and testing models, and collaborating with other team members.  You'll be involved in all stages of the data science lifecycle.</p>