<p><b>What role you will play in team:</b>  You'll contribute to a team building machine learning models for fraud detection. </p><p><b>What you will do:</b> You'll be involved in data preprocessing, model training and evaluation, and deployment.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing.</li><li>Feature engineering.</li><li>Model training and evaluation.</li><li>Deployment of machine learning models.</li><li>Collaboration with other data scientists.</li><li>Documenting your work clearly.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>Experience with Python and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and innovative work environment.</li><li>Comprehensive Health Benefits.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on a specific aspect of a machine learning model, collaborating with teammates, and attending project meetings.</p>