<p><strong>What role you will play in team:</strong> You will be a key member of our team, contributing to the development and implementation of machine learning models for our search algorithms. </p><p><strong>What you will do:</strong> You'll be involved in all aspects of the machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring.  </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to improve the accuracy and efficiency of our search algorithms.</li><li>Conduct research on new machine learning techniques and algorithms.</li><li>Collaborate with other engineers and scientists to design and implement new features.</li><li>Work with large datasets and develop efficient data processing pipelines.</li><li>Present your findings and recommendations to stakeholders.</li><li>Maintain and improve existing machine learning models.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in computer science, statistics, or a related field.</li><li>Experience with machine learning algorithms such as linear regression, logistic regression, decision trees, support vector machines, and neural networks.</li><li>Proficiency in Python or R.</li><li>Experience with big data technologies such as Hadoop, Spark, and Hive.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>The chance to work on challenging and impactful projects.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start your day by reviewing the performance of your machine learning models. You'll then work on developing and implementing new models, collaborating with other engineers and scientists. In the afternoon, you'll present your findings to stakeholders and work on improving existing models.</p>