<p><strong>What role you will play in team:</strong> Contribute to building and improving machine learning models for various business applications.</p><p><strong>What you will do:</strong> Develop algorithms, work with large datasets, and collaborate with engineers for model deployment.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for business applications.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to deploy models into production.</li><li>Document and share knowledge with team members.</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>Bachelor's or Master's degree in Computer Science, Statistics, or related field.</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with cloud computing platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Professional development opportunities.</li><li>A collaborative work environment.</li><li>Flexible work arrangements.</li><li>Health Insurance, Paid Time Off, Performance Bonus.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend time coding, running experiments, analyzing data, and collaborating with teammates, ensuring seamless model integration into applications.</p>