<p><b>What role you will play in team:</b>You will work as part of a collaborative team focused on designing, developing, and deploying innovative machine learning solutions for various clients. You will be involved throughout the entire lifecycle of a project, from initial design to final deployment and monitoring.</p><p><b>What you will do:</b>You will research, select, and implement appropriate machine learning algorithms, create and optimize data pipelines, and develop and deploy scalable machine learning models. Your focus will be on creating robust and efficient systems.</p><p><b>Key responsibility:</b><ul><li>Design and develop scalable machine learning models and systems.</li><li>Research, evaluate and select appropriate machine learning algorithms.</li><li>Build and optimize data pipelines for efficient data processing.</li><li>Develop and maintain production-ready machine learning applications.</li><li>Collaborate with data scientists and engineers to ensure seamless integration.</li><li>Monitor model performance and make necessary adjustments to maintain accuracy and efficiency.</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>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python or Java.</li><li>Strong understanding of machine learning algorithms and concepts.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth within Infosys.</li><li>Comprehensive health insurance.</li><li>Paid time off and holidays.</li><li>Employee recognition programs and performance-based incentives.</li><li>A supportive and collaborative work environment.</li></ul></p><p><b>A Day in the Life:</b>A typical day involves working on various stages of the machine learning lifecycle, collaborating with colleagues, implementing algorithms, optimizing models, and troubleshooting any issues that arise.  It's a fast-paced, stimulating role focused on cutting-edge technologies.</p>