<p><b>What role you will play in team:</b> Collaborate with cross-functional teams to solve business problems using machine learning and statistical techniques.</p><p><b>What you will do:</b>  Develop, deploy, and maintain machine learning models for various applications in our client projects.</p><p><b>Key responsibility:</b><ul><li>Develop and implement predictive models using machine learning algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate and tune models for optimal performance.</li><li>Collaborate with engineers to deploy models into production.</li><li>Document and communicate findings clearly and concisely.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or Ph.D. 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 (e.g., scikit-learn, TensorFlow).</li><li>Experience with cloud platforms (e.g., AWS, Azure) is a plus.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Comprehensive health insurance and other benefits.</li><li>Opportunities for professional development and skill enhancement.</li><li>Competitive salary.</li><li>Work-life balance.</li></ul></p><p><b>A Day in the Life:</b> Your day involves working with data, building models, testing, and collaborating with team members to solve challenging problems.</p>