<p><b>What role you will play in team:</b> You'll be part of a team building and deploying machine learning models for various applications, collaborating closely with data scientists and engineers.</p><p><b>What you will do:</b> You will focus on the implementation, optimization, and deployment of machine learning models into production environments.</p><p><b>Key responsibility:</b><ul><li>Design and implement efficient machine learning pipelines.</li><li>Optimize models for performance and scalability.</li><li>Deploy models to production using cloud-based services.</li><li>Monitor model performance and identify areas for improvement.</li><li>Collaborate with data scientists to translate research into production-ready models.</li><li>Contribute to the development of machine learning infrastructure.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or equivalent experience in Computer Science or a related field.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Strong programming skills in Python.</li><li>Experience with cloud platforms (AWS, Azure, 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 career growth and development.</li><li>Collaborative and innovative work environment.</li><li>Health Insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves coding, testing, deploying, and monitoring machine learning models.</p>