1. Work with long chain, llama index, or similar LLM frameworks that use Chatgpt, Gemini, and other similar APIs to create Python applications to solve AI business use cases.
2. Explore, implement, and deploy existing machine learning models, algorithms, pipelines, and workflows to solve complex business problems and enhance AI-driven applications.
3. Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources (AWS) and code optimizations.
4. Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications.
5. Stay current on AI knowledge, trends, regulations, research papers, and tools, incorporating them into AI development projects.
