<p><b>What role you will play in team:</b> You'll be a vital contributor to our team, developing and implementing machine learning models for various applications.</p><p><b>What you will do:</b> You'll focus on building and deploying machine learning models for various clients, and communicating insights from your work.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms.</li><li>Perform data preprocessing and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with cross-functional teams to gather data and translate business requirements.</li><li>Document your work clearly and thoroughly.</li><li>Stay abreast of the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience working with large datasets.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A supportive and collaborative team environment.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on model development, data analysis, and collaboration with colleagues.  Continuous learning and improvement are essential.</p>