<p><strong>What role you will play in team:</strong> Design, develop, and deploy machine learning models for various financial applications.</p><p><strong>What you will do:</strong> Work with large datasets, build robust models, and optimize for performance.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms and models.</li><li>Work with large datasets using big data technologies.</li><li>Optimize models for performance and scalability.</li><li>Deploy models into production environments.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, 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 frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>Collaborative work environment.</li></ul></p><p><strong>A Day in the Life:</strong> A day involves model development, testing, deployment, and collaboration with team members.</p>