<p><b>What role you will play in team:</b> You will be a crucial member of our growing data science team, contributing to the development of innovative machine learning solutions for our clients.</p><p><b>What you will do:</b> You will be involved in all stages of the machine learning lifecycle, from data exploration to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models to solve complex business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay current with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Computer Science, Statistics, or related field.</li><li>Proficiency in Python and relevant libraries (pandas, scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Strong communication and collaboration skills.</li><li>Experience with big data technologies (Spark, Hadoop) is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative and supportive team environment.</li><li>Health insurance, paid time off and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b> A typical day includes working on data analysis, building and testing models, collaborating with the team, and refining existing solutions.</p>