(Summary generated by AI based on the full job description)
The project involves building and deploying ML and AI systems processing millions of records daily. Tasks include developing NLP, embedding, vector search, and LLM models, as well as designing scalable MLOps solutions with monitoring and drift detection. Technologies used include Python, AWS/GCP, classification and ranking models. Responsibilities cover collaboration with Data Science and Engineering teams, improving data quality, and developing model evaluation frameworks.




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