<p><b>What role you will play in team:</b> Design, develop and deploy machine learning models for various applications, collaborating with a talented engineering team.</p><p><b>What you will do:</b>  Implement and optimize machine learning models for scalability and performance in a production environment.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models into production.</li><li>Collaborate with data scientists on model selection and implementation.</li><li>Optimize models for speed and efficiency.</li><li>Ensure model performance monitoring and maintenance.</li><li>Contribute to the improvement of machine learning pipelines.</li><li>Stay up to date with the latest advances in the field.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science or a related field.</li><li>3-5 years of experience in machine learning engineering.</li><li>Proficiency in Python, experience with at least one deep learning framework (TensorFlow/PyTorch).</li><li>Experience with cloud platforms (AWS, Azure, or GCP).</li><li>Experience with model deployment and monitoring.</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 growth and development.</li><li>Collaborative and supportive work environment.</li><li>Work from home or hybrid work options.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves working on model optimization, deployment, monitoring, and staying updated on the latest advancements.</p>