<p><strong>What role you will play in team:</strong>As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models to solve real-world business problems. You will be working with a team of experienced engineers and data scientists.</p><p><strong>What you will do:</strong>You'll be involved in the entire machine learning lifecycle, from data collection and preprocessing to model development, training, deployment, and monitoring.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for various applications.</li><li>Design and implement efficient data pipelines for model training.</li><li>Deploy models to production environments using cloud platforms.</li><li>Monitor model performance and identify areas for improvement.</li><li>Collaborate with data scientists and other engineers.</li><li>Stay updated with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning frameworks like TensorFlow or PyTorch.</li><li>Experience with cloud platforms such as AWS or Azure.</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>A collaborative and supportive work environment.</li><li>Health Insurance, Paid Time Off</li><li>Retirement Plan</li></ul></p><p><strong>A Day in the Life:</strong>A typical day involves working on model development, training, and deployment. You will collaborate with team members, debug code, and review performance metrics. Continuous learning and staying updated on the latest technologies is crucial.</p>