<p><b>What role you will play in team:</b> You will be a key contributor to our team building and deploying machine learning models for financial risk management.</p><p><b>What you will do:</b> You will design, develop, and deploy machine learning models, work with large datasets, and collaborate with other engineers and researchers.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models for financial risk management.</li><li>Work with large datasets of financial data.</li><li>Collaborate with other engineers and researchers.</li><li>Optimize models for performance and scalability.</li><li>Stay up-to-date with the latest advances in machine learning.</li><li>Maintain and improve existing models.</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 or Java.</li><li>Experience with machine learning libraries such as TensorFlow or PyTorch.</li><li>Strong understanding of machine learning algorithms.</li><li>Excellent problem-solving skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Challenging and rewarding work environment.</li><li>Health insurance, paid time off, retirement plan.</li><li>Stock Options</li></ul></p><p><b>A Day in the Life:</b>A typical day will involve model development, testing, deployment, and collaboration with other engineers.</p>