<p><b>What role you will play in team:</b> You will be a key member of our team, contributing to the development and implementation of machine learning models for various Google products.  You'll collaborate closely with engineers and product managers to solve complex problems.</p><p><b>What you will do:</b>  You will design, develop, and deploy machine learning models using various techniques. You will also be involved in data cleaning, preprocessing and feature engineering.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms.</li><li>Perform data analysis and visualization.</li><li>Collaborate with cross-functional teams.</li><li>Present findings and insights to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Contribute to the improvement of our existing machine learning pipelines.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Statistics, or a related field.</li><li>2-4 years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home flexibility.</li><li>Paid time off and holidays.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve collaborating with team members on a new machine learning project, analyzing data sets, developing and testing algorithms and presenting findings to the team.  You will constantly be learning and growing your skillset.</p>