<p><strong>What role you will play in team:</strong> Collaborate with a team of highly skilled engineers and data scientists to develop and deploy machine learning models for various applications, focusing on improving product performance and efficiency.</p><p><strong>What you will do:</strong> Design, develop, test, and deploy machine learning models using various algorithms and technologies. You will also contribute to the improvement of existing models and the development of new features.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms (e.g., regression, classification, clustering).</li><li>Perform feature engineering and selection to optimize model performance.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Deploy models into production environments.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay current with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD degree in Computer Science, Statistics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Flexible work arrangements.</li><li>A collaborative and innovative work environment.</li></ul></p><p><strong>A Day in the Life:</strong>  You'll spend your day building, testing and deploying ML models. You'll interact with the data science team to address critical problems. Expect a stimulating environment with plenty of challenges.</p>