<p><strong>What role you will play in team:</strong>  Develop and implement machine learning algorithms to improve efficiency and accuracy.</p><p><strong>What you will do:</strong> You will use cutting-edge machine learning techniques to solve real-world problems.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Build predictive models for risk assessment and pricing.</li><li>Analyze large datasets to identify patterns and insights.</li><li>Collaborate with data engineers and business stakeholders.</li><li>Stay abreast of the latest developments in machine learning.</li><li>Improve model accuracy and efficiency.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD degree in a related field.</li><li>Expertise in machine learning algorithms.</li><li>Proficiency in programming languages (Python, R).</li><li>Experience with big data tools (Spark, Hadoop).</li><li>Strong communication and presentation skills.</li><li>Experience with cloud computing platforms (AWS, Azure).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities to work on challenging projects.</li><li>Collaborative and supportive team environment.</li><li>Opportunities for professional development.</li><li>Health insurance</li></ul></p><p><strong>A Day in the Life:</strong>  Involves developing and testing machine learning models, analyzing data, collaborating with engineers, and presenting results.</p>