<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models for various business applications. You will work as part of an agile team collaborating closely with data scientists and engineers.</p><p><b>What you will do:</b> Design, develop, test and deploy machine learning models to solve real-world problems. You will leverage cloud infrastructure and big data technologies to process and manage large datasets.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain machine learning models in Python or other relevant languages</li><li>Perform model training, validation and deployment using cloud-based platforms</li><li>Collaborate with data scientists to translate business requirements into technical specifications</li><li>Implement and maintain data pipelines for efficient model training</li><li>Monitor and optimize model performance in production environments</li><li>Document your work effectively to facilitate knowledge sharing</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelors or Masters degree in Computer Science or a related field.</li><li>Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.</li><li>Proficiency in Python programming.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP is a plus.</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A dynamic and collaborative work environment.</li><li>Excellent health insurance coverage.</li><li>Generous paid time off.</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day working on various aspects of the ML lifecycle, from model training and testing to deployment and monitoring.  Collaboration with colleagues and problem-solving are key.</p>