<p><strong>What role you will play in team:</strong> You’ll support our team by assisting with data cleaning, model development, and evaluation.</p><p><strong>What you will do:</strong> You’ll gain practical experience in machine learning, contributing to real-world projects under the guidance of experienced professionals.</p><p><strong>Key responsibility:</strong><ul><li>Assist with data cleaning and preprocessing.</li><li>Develop and evaluate machine learning models.</li><li>Contribute to the development of machine learning algorithms.</li><li>Participate in team meetings and discussions.</li><li>Learn and apply new machine learning techniques.</li><li>Document your work and share your findings with the team.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Currently pursuing a degree in computer science, statistics, or a related field.</li><li>Familiarity with Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Interest in machine learning and artificial intelligence.</li><li>Ability to work independently and as part of a team.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Hands-on experience in a real-world setting.</li><li>Mentorship from experienced professionals.</li><li>Opportunities for professional development.</li><li>Competitive stipend.</li></ul></p><p><strong>A Day in the Life:</strong> A day could involve data cleaning, working on model training and evaluation, attending team meetings and collaborating with senior members of the team on relevant projects.</p>