<p><strong>What role you will play in team:</strong> Contribute to a team focused on developing AI solutions for industrial automation.</p><p><strong>What you will do:</strong> Build machine learning models that enhance productivity in manufacturing processes.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for predictive maintenance.</li><li>Analyze large datasets of sensor data from industrial equipment.</li><li>Collaborate with engineers to integrate models into industrial systems.</li><li>Monitor and evaluate model performance.</li><li>Develop and present reports on findings and recommendations.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a relevant field (e.g., computer science, engineering).</li><li>1-2 years of experience in data science or machine learning.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Good communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Collaborative and innovative work environment.</li><li>Work on cutting-edge technology.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day would involve data exploration, model building, testing, and collaborating with engineers to integrate solutions.</p>