<p><b>What role you will play in team:</b> Design, develop, and deploy machine learning models to solve complex business problems.</p><p><b>What you will do:</b> Work on all aspects of the machine learning lifecycle, from data collection to model deployment.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models.</li><li>Work with large datasets.</li><li>Develop and improve data pipelines.</li><li>Collaborate with cross-functional teams.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Present findings and recommendations to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Statistics, or related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Excellent communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth.</li><li>Collaborative and innovative work environment.</li><li>Opportunities to work on challenging projects.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on different stages of the ML lifecycle, from data cleaning to model deployment, collaborating with colleagues, and learning new techniques.</p>