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Requirements:
Own the full project lifecycle end to end, from business needs to research questions and POCs, through development, deployment, monitoring, and maintenance
Develop, TEST, and deploy Machine Learning models with a focus on time series forecasting and predictive analytics
Research and build LLM-powered applications for personalization, recommendation systems, and internal productivity tools
Work with text embeddings, feature engineering, and RAG architectures
Refine prompts and evaluate LLM performance to ensure accuracy, safety, and consistency
Build robust data pipelines for structured and unstructured data
Establish and run A/B testing frameworks to support data -driven decisions
Partner with product, engineering, and business teams to present findings clearly and drive action