<p><b>What role you will play in team:</b> As a Machine Learning Engineer, you'll be a key contributor to our team, building and deploying machine learning models for various clients across diverse industries. You will collaborate closely with data scientists and engineers.</p><p><b>What you will do:</b> Your responsibilities encompass the entire machine learning lifecycle, from data preprocessing and model training to deployment and maintenance. You'll work with cutting-edge technologies and tackle challenging problems.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models</li><li>Preprocess and clean data for model training</li><li>Experiment with various algorithms and architectures</li><li>Evaluate model performance and make improvements</li><li>Collaborate with other engineers and data scientists</li><li>Document code and processes clearly</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>Experience with Python and relevant libraries (TensorFlow, PyTorch, scikit-learn).</li><li>Proficiency in building and deploying machine learning models.</li><li>Understanding of cloud platforms (AWS, Azure, GCP) is a plus.</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 training</li><li>Work on diverse and challenging projects</li><li>Collaborative and supportive work environment</li><li>Flexible work arrangements</li></ul></p><p><b>A Day in the Life:</b> A day might involve refining a model's hyperparameters, debugging code, collaborating with data scientists on feature engineering, or deploying a model to a production environment.</p>