<p><strong>What role you will play in team:</strong>  You will be part of a highly collaborative team, working on cutting-edge projects using the latest technologies.  You will contribute to the design and implementation of machine learning models.</p><p><strong>What you will do:</strong> You will be involved in all stages of the machine learning lifecycle, from data collection to model deployment and monitoring.</p><p><strong>Key responsibility:</strong><ul><li>Gather, clean, and preprocess large datasets.</li><li>Develop and implement machine learning models to solve complex business problems.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Deploy models to production environments and monitor their performance.</li><li>Collaborate with other data scientists and engineers to build robust and scalable solutions.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with various machine learning algorithms (regression, classification, clustering).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A supportive and inclusive work environment.</li><li>Flexible work arrangements.</li><li>Access to cutting-edge technologies and resources.</li></ul></p><p><strong>A Day in the Life:</strong> A day might involve data cleaning, model training, performance evaluation, and collaboration with your team on improving model accuracy and efficiency.</p>