<p><b>What role you will play in team:</b>  You'll be a vital member of the team responsible for developing and implementing machine learning models for fraud detection.</p><p><b>What you will do:</b>  You’ll work on building, testing and deploying machine learning models in a production environment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for fraud detection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with data engineers and business stakeholders.</li><li>Maintain and update existing models.</li><li>Document your work and share knowledge with the team.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a relevant field (e.g., Computer Science, Statistics).</li><li>3+ years of experience in machine learning.</li><li>Proficiency in Python or R and relevant libraries.</li><li>Experience with cloud computing platforms.</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Comprehensive health and wellness programs.</li></ul></p><p><b>A Day in the Life:</b>  You'll spend time building, testing, and deploying machine learning models, collaborating with colleagues, and reviewing performance metrics to optimize existing solutions.  You’ll focus on improving the accuracy and efficiency of fraud detection systems.</p>