<p><strong>What role you will play in team:</strong> You will be an integral member of our team, responsible for designing, developing, and deploying machine learning models to enhance our music recommendation system. Your contributions will directly impact millions of users worldwide.</p><p><strong>What you will do:</strong>Develop and implement machine learning algorithms for music recommendation.  You will collaborate with other engineers to integrate models into our production systems.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for music recommendations.</li><li>Experiment with different algorithms and techniques to improve model performance.</li><li>Collaborate with engineers to integrate models into our production systems.</li><li>Monitor and maintain model performance.</li><li>Work with large datasets and perform feature engineering.</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 or PhD in Computer Science, Machine Learning, or a related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks like TensorFlow or PyTorch.</li><li>Experience with large-scale data processing.</li><li>Experience with cloud computing platforms (AWS, GCP, Azure).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for career growth and development within a dynamic team.</li><li>Access to cutting-edge technologies and resources.</li><li>Collaborative and supportive work environment.</li><li>Employee discounts and perks.</li></ul></p><p><strong>A Day in the Life:</strong>You'll spend your day building models, conducting experiments, collaborating with teammates, and ensuring your models are performing at optimal levels.</p>