Description and Requirements Data Preparation & Analysis: Gather, clean, and preprocess datasets for AI model training. Perform exploratory data analysis (EDA) to extract meaningful insights. Implementation & Integration: Assist in integrating AI models into applications and backend systems. Develop APIs and pipelines for seamless model deployment. Research & Innovation: Stay updated with the latest AI technologies, tools, and frameworks. Experiment with innovative AI approaches to address business challenges. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers. Participate in technical discussions and brainstorming sessions. Testing & Validation: Support the testing and validation of AI solutions to ensure reliability and scalability. Monitor AI model performance and suggest improvements when needed. Documentation: Document AI workflows, technical specifications, and deployment processes. Prepare user manuals and guides for implemented solutions.