A company uses an ML model to generate text descriptions for product images uploaded by customers. Each uploaded image can be as large as 40 MB in size. To cost-effectively handle the inference request for these uploads, the images are saved in an Amazon S3 bucket. A data engineer needs to implement a scalable processing solution that can adapt to fluctuations in demand while minimizing operational overhead. What is the best solution to meet these requirements?