<p><b>What role you will play in team:</b> You will be a vital member of a team building machine learning solutions for financial applications. You will work alongside data scientists and engineers to build robust and scalable ML systems.</p><p><b>What you will do:</b> You will design, develop, and deploy machine learning models at scale.  You will be involved in the entire model lifecycle, from data collection to deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models using various algorithms.</li><li>Build and maintain data pipelines.</li><li>Develop and deploy machine learning models into production environments.</li><li>Monitor model performance and address issues.</li><li>Collaborate with data scientists and engineers.</li><li>Stay up-to-date with 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>Experience with Python and machine learning libraries (e.g., TensorFlow, PyTorch).</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Strong problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement.</li><li>Work in a dynamic and collaborative environment.</li><li>Comprehensive health insurance.</li></ul></p><p><b>A Day in the Life:</b> A day might involve designing a new machine learning model, debugging code, collaborating with other engineers, or deploying a model to production.</p>