<p><b>What role you will play in team:</b>  You will be an integral part of our team, designing, developing, and deploying machine learning models for various financial applications.  You'll collaborate with data scientists and engineers to build scalable and robust solutions.</p><p><b>What you will do:</b> You will focus on the engineering aspects of machine learning, including model training, deployment, and monitoring.  You will also be involved in developing and maintaining the infrastructure needed to support machine learning workloads.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models.</li><li>Develop and maintain the infrastructure needed to support machine learning workloads.</li><li>Collaborate with data scientists and engineers.</li><li>Monitor model performance and identify areas for improvement.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Contribute to the development of best practices for machine learning engineering.</li></ul></p><p><b>Required Qualification and Skills:</b><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 computing platforms (e.g., AWS, Azure, GCP).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Mentorship and training programs.</li><li>Collaborative work environment.</li><li>Global career opportunities.</li></ul></p><p><b>A Day in the Life:</b> A day involves working on model training, development, deployment, and monitoring. It includes collaboration with data scientists and other engineers. You'll also participate in code reviews and design discussions.</p>