<p><b>What role you will play in team:</b> You will be part of a team building and deploying machine learning models for various applications, such as fraud detection and customer segmentation.</p><p><b>What you will do:</b> You'll design, develop, and test machine learning models. You'll collaborate with data scientists and engineers to deploy and monitor these models.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models in a production environment.</li><li>Collaborate with data scientists on model development and deployment.</li><li>Implement model monitoring and retraining strategies.</li><li>Work with large datasets and big data technologies.</li><li>Optimize model performance for scalability and efficiency.</li><li>Maintain and improve existing machine learning infrastructure.</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>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP).</li><li>Experience with version control systems (Git).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for professional growth and development.</li><li>Collaborative and inclusive work environment.</li><li>Flexible work arrangements.</li><li>Employee discount programs.</li></ul></p><p><b>A Day in the Life:</b> A typical day may involve model development, testing, deployment, and performance monitoring.  You will collaborate extensively with colleagues and contribute to a fast-paced environment.</p>