<p><strong>What role you will play in team:</strong> You'll be a key member of our machine learning team, developing and deploying models for recommendation systems, fraud detection, and other critical applications. Collaborate with engineers and data scientists to build scalable and efficient solutions.</p><p><strong>What you will do:</strong> Design, develop, and deploy machine learning models.  Experiment with various algorithms and techniques to optimize model performance.  Contribute to the improvement of our machine learning infrastructure.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for various applications.</li><li>Experiment with different algorithms and techniques to optimize model performance.</li><li>Collaborate with engineers and data scientists to build scalable and efficient solutions.</li><li>Develop and maintain machine learning infrastructure.</li><li>Monitor model performance and make necessary adjustments.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science, engineering, or a related field.</li><li>Strong programming skills 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, GCP).</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and development.</li><li>A collaborative and supportive work environment.</li><li>Access to cutting-edge technologies.</li><li>Work-life balance initiatives.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working on model development, deployment, and monitoring.  You'll collaborate with colleagues, experiment with new algorithms, and solve challenging technical problems.</p>