<p><b>What role you will play in team:</b> You'll be part of a team building cutting-edge machine learning solutions for fraud detection and risk management within the bank.  Your contributions will directly impact our security and financial stability.</p><p><b>What you will do:</b> You will design, develop, and deploy machine learning models using large datasets.  You will also evaluate model performance and optimize for accuracy and efficiency.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for fraud detection and risk management</li><li>Work with large datasets to train and evaluate models</li><li>Optimize models for performance and scalability</li><li>Collaborate with data scientists and engineers to build robust solutions</li><li>Monitor model performance and make improvements</li><li>Stay up-to-date on the latest advancements in machine learning</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in computer science or a related field</li><li>2-4 years of experience in machine learning engineering</li><li>Proficiency in Python and TensorFlow/PyTorch</li><li>Experience with cloud computing platforms (AWS, Azure, GCP)</li><li>Strong understanding of machine learning algorithms</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for career advancement</li><li>Mentorship and professional development programs</li><li>Positive and collaborative work environment</li></ul></p><p><b>A Day in the Life:</b> Your day will involve working on model development, collaborating with your team, reviewing code, and optimizing models for performance. You'll contribute significantly to a secure and stable financial institution.</p>