<p><strong>What role you will play in team:</strong> As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models for various financial applications.</p><p><strong>What you will do:</strong> You will work closely with data scientists and engineers to build scalable and reliable machine learning systems.</p><p><strong>Key responsibility:</strong><ul><li>Design and develop machine learning models using various algorithms and techniques.</li><li>Implement and optimize machine learning pipelines.</li><li>Deploy models to production environments.</li><li>Monitor and maintain model performance.</li><li>Collaborate with data scientists and engineers.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science or a related field.</li><li>3-5 years of experience in machine learning engineering.</li><li>Proficiency in Python or Java.</li><li>Experience with cloud platforms such as AWS or Azure.</li><li>Strong understanding of machine learning algorithms and techniques.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Collaborative work environment.</li><li>Work from office.</li></ul></p><p><strong>A Day in the Life:</strong> Your day may involve working on model development, deployment, or maintenance. You'll collaborate with team members and address challenges in building robust ML systems.</p>