<p><b>What role you will play in team:</b> You'll be part of a team developing cutting-edge machine learning solutions for our insurance products.</p><p><b>What you will do:</b>  You'll design, develop, and deploy machine learning models to improve risk assessment and fraud detection.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection and risk assessment.</li><li>Work with large datasets using big data technologies.</li><li>Deploy models into production environments.</li><li>Monitor and improve model performance.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay updated on the latest advances in machine learning and AI.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Data Science, or a related field.</li><li>Experience with Python or other programming languages.</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Understanding of big data technologies (e.g., Hadoop, Spark).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth and development.</li><li>A dynamic and collaborative work environment.</li><li>Work from office.</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day developing and testing machine learning algorithms, collaborating with your team, and deploying models to production.</p>