<p><b>What role you will play in team:</b>  You will be a key contributor to our team, building and deploying machine learning models for various applications. You'll work collaboratively with data scientists and engineers to create scalable and efficient solutions.</p><p><b>What you will do:</b> Design, develop, and deploy machine learning models; experiment with different algorithms and techniques; and optimize models for performance and scalability.  You will also collaborate on the design and implementation of new machine learning infrastructure.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models using various frameworks (TensorFlow, PyTorch, etc.).</li><li>Experiment with different algorithms and techniques to improve model accuracy and efficiency.</li><li>Optimize models for performance and scalability.</li><li>Collaborate with data scientists to understand business requirements.</li><li>Contribute to the development and maintenance of machine learning infrastructure.</li><li>Stay up-to-date with the latest advancements in machine learning.</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>Strong programming skills in Python.</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Knowledge of various machine learning algorithms and techniques.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.</li><li>Excellent problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and growth.</li><li>A dynamic and collaborative work environment.</li><li>Flexible work options.</li><li>Stock Options</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves coding, model training, experimentation, collaboration with team members, and continuous learning to stay ahead in this rapidly evolving field.</p>