Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. Own the reliability, quality, and performance of deployed agents. * Work-Life Balance:We believe in a healthy work-life balance, ensuring that you have time to unwind, pursue your hobbies, and spend quality time with loved ones
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