<p><strong>What role you will play in team:</strong> You will be a part of a dynamic team working on innovative projects related to music recommendation systems.</p><p><strong>What you will do:</strong> Develop and implement machine learning models for improving user experience and personalization.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Collaborate with engineers to deploy models into production.</li><li>Communicate findings to stakeholders.</li><li>Stay current with the latest advancements in data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Relocation assistance.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with team members, working on data analysis projects, developing and testing machine learning models, and attending team meetings.</p>