<p><strong>What role you will play in team:</strong> Design, develop, and deploy machine learning models for music recommendations and personalization.</p><p><strong>What you will do:</strong>  Work on large datasets and build scalable solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms for music recommendations.</li><li>Build and maintain data pipelines for model training and deployment.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other engineers to build scalable and robust solutions.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science, machine learning, or a related field.</li><li>Proficiency in Python or Java and experience with machine learning libraries (TensorFlow, PyTorch).</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Strong problem-solving skills and a passion for music.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for professional growth and development.</li><li>Work on cutting-edge technology and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong> Involves model building, testing, deploying, and monitoring.  You will also participate in code reviews, collaborate with teammates, and explore new ML techniques.</p>