<p><strong>What role you will play in team:</strong>Collaborate with a team of engineers and data scientists to design, develop, and deploy machine learning models for various clients.</p><p><strong>What you will do:</strong> You'll be responsible for the entire machine learning lifecycle, from data preprocessing to model deployment and maintenance. </p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models</li><li>Work with large datasets, using cloud platforms</li><li>Perform data preprocessing and feature engineering</li><li>Evaluate model performance and identify areas for improvement</li><li>Collaborate with other engineers and data scientists</li><li>Document code and models for future use</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>2+ years of experience in a machine learning role</li><li>Proficiency in Python or Java</li><li>Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn</li><li>Strong problem-solving skills and attention to detail</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package</li><li>Opportunities for career advancement</li><li>Opportunities to work on cutting-edge projects</li><li>A collaborative and supportive work environment</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong> You'll start by reviewing model performance metrics, then work on improving model accuracy through feature engineering or algorithm optimization.  You'll collaborate with colleagues and engage in code reviews. The day will conclude with documenting your progress.</p>