Design, develop, and deploy Python-based applications and AI/ML models. Collect, clean, and preprocess structured and unstructured data for model training. Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics. Create and integrate APIs for serving ML models into applications or web services. Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency. Develop automation scripts and data pipelines to support AI workflows. Work with data engineers, developers, and product teams for end-to-end solution delivery. Maintain clean code, version control (Git), and project documentation. Test models, deploy to production, and monitor performance using cloud or on-prem setups. Explore emerging AI/ML technologies and contribute to innovation projects.