Architect end-to-end AI and ML solutions, emphasizing generative AI (e.g., text, image, or code generation), agentic AI systems (e.g., autonomous agents for decision-making), and ML models (e.g., predictive analytics, classification) to address LOB use cases like personalized marketing, customer support automation, financial forecasting, and operational efficiency. * Design data pipelines to support generative AI, agentic AI, and ML models, ensuring high-quality data for training, fine-tuning, and inference in LOB contexts, such as customer data for personalization or transactional data for predictive analytics. * Optimize generative AI models, agentic systems, and ML algorithms for performance, costefficiency, and accuracy in production, addressing LOB-specific KPIs like prediction accuracy, response time, or custome
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