<p><strong>What role you will play in team:</strong> You'll be a crucial part of our team developing and deploying machine learning models for credit risk assessment and financial forecasting.</p><p><strong>What you will do:</strong> You will design, build, and test machine learning models, collaborating closely with data scientists and other engineers.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for various financial applications.</li><li>Collaborate with data scientists to translate business problems into technical solutions.</li><li>Develop and maintain robust and scalable data pipelines.</li><li>Evaluate model performance and iterate on model improvements.</li><li>Implement model monitoring and alerting systems.</li><li>Work with large datasets and perform feature engineering.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science, Data Science, or related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python or Java.</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Experience with version control systems (Git).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Chance to work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with data scientists, building and testing machine learning models, debugging code, and refining models for improved accuracy.</p>