<p><b>What role you will play in team:</b>  You will be a key contributor to our team, working on challenging projects that leverage machine learning to solve real-world problems.</p><p><b>What you will do:</b> You will be responsible for the entire machine learning lifecycle, from data collection to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to address specific business needs.</li><li>Perform exploratory data analysis and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Deploy models into production and monitor their performance.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings and insights to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and libraries.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A challenging and rewarding work environment.</li><li>Health Insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b>  A typical day will be a mix of data analysis, model building, collaboration, and presenting your findings.</p>