<p><strong>What role you will play in team:</strong>  Work closely with a team of experienced data scientists to develop and deploy machine learning models for various business applications. Your contributions will help solve real-world business problems.</p><p><strong>What you will do:</strong> You will be responsible for data preprocessing, feature engineering, model training and evaluation, and model deployment.</p><p><strong>Key responsibility:</strong><ul><li>Data cleaning and preprocessing using various techniques.</li><li>Feature engineering to improve model performance.</li><li>Develop and train machine learning models using appropriate algorithms.</li><li>Evaluate model performance using relevant metrics.</li><li>Deploy models to production environments.</li><li>Collaborate with cross-functional teams to understand business requirements.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and career growth.</li><li>A collaborative and supportive work environment.</li><li>Opportunities to work on cutting-edge technology.</li></ul></p><p><strong>A Day in the Life:</strong> You will be engaged in all aspects of the machine learning lifecycle, from data preparation to model deployment, collaborating closely with your team to solve real-world business problems.</p>