<p><b>What role you will play in team:</b> Contribute to the development of machine learning models for fraud detection.</p><p><b>What you will do:</b> Collect, clean, and preprocess data; train and evaluate models; and collaborate with engineers to deploy solutions.</p><p><b>Key responsibility:</b><ul><li>Data collection and preprocessing.</li><li>Feature engineering and selection.</li><li>Model training and evaluation.</li><li>Deployment and monitoring of machine learning models.</li><li>Collaboration with other teams.</li><li>Documentation of code and models.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>0-1 years of experience in data science.</li><li>Proficiency in Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with cloud computing platforms (AWS, Azure, GCP).</li><li>Strong communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Work on cutting-edge technologies.</li><li>A collaborative and supportive team environment.</li></ul></p><p><b>A Day in the Life:</b> Involves data exploration, model development, and collaboration with team members. </p>