<p><b>What role you will play in team:</b> You will be part of a dynamic team building and deploying machine learning solutions for various clients across different industries. You will collaborate with data scientists and engineers.</p><p><b>What you will do:</b> You will design, develop, and deploy machine learning models, focusing on model optimization and scalability. You will work with large datasets and utilize cloud computing resources.</p><p><b>Key responsibility:</b><ul><li>Design and develop machine learning models using various algorithms and techniques.</li><li>Perform data preprocessing, feature engineering, and model selection.</li><li>Deploy and monitor machine learning models in production environments.</li><li>Collaborate with data scientists and engineers to build and improve machine learning pipelines.</li><li>Optimize model performance and scalability.</li><li>Stay up-to-date with the latest advancements in machine learning.</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 libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Experience with cloud computing platforms such as AWS, Azure, or GCP.</li><li>Experience with version control systems such as Git.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for training and development.</li><li>Exposure to diverse projects and technologies.</li><li>Work-life balance.</li><li>Opportunities for international travel.</li></ul></p><p><b>A Day in the Life:</b> A day involves coding, model training, debugging, collaboration, and continuous learning to stay ahead in the rapidly evolving world of ML.</p>