<p><b>What role you will play in team:</b> You will work within a collaborative team to build predictive models and provide data-driven insights to solve complex business problems.</p><p><b>What you will do:</b> You will be involved in all aspects of the machine learning lifecycle from data collection and cleaning to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and preprocess data.</li><li>Develop and implement machine learning models.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Deploy and monitor models in production.</li><li>Collaborate with cross-functional teams.</li><li>Communicate findings and insights effectively to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or 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 (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li><li>Professional development opportunities.</li><li>Health Insurance.</li></ul></p><p><b>A Day in the Life:</b> Your day will be filled with exploring data, building models, collaborating with colleagues, and presenting your findings.</p>