<p><b>What role you will play in team:</b> As a Machine Learning Engineer, you will be instrumental in building and deploying machine learning models for various clients across different industries. You will collaborate with a team of data scientists and engineers to design, develop, and implement innovative solutions.</p><p><b>What you will do:</b> You will work on the entire machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring.  You'll also be involved in researching and implementing new machine learning techniques.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models using various algorithms and frameworks.</li><li>Perform data preprocessing, feature engineering, and model selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with data scientists and engineers to build robust and scalable solutions.</li><li>Develop and maintain machine learning pipelines.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in computer science, statistics, or a related field.</li><li>Proficiency in Python, TensorFlow, or PyTorch.</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Strong understanding of machine learning algorithms and techniques.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Exposure to diverse projects and industries.</li><li>Work-life balance initiatives.</li></ul></p><p><b>A Day in the Life:</b>A typical day involves working on various aspects of the machine learning lifecycle, collaborating with team members, and staying updated on the latest advances in the field.</p>