Applied AI ML Engineer Lead
JPMorgan Chase
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This listing doesn't post a salary. Most similar roles pay $183,477–$246,150.
Based on 240 similar postings.
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JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has 1117 open roles on FindRole.
Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.
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As Applied AI/ML Lead within the Commercial & Investment Bank Healthcare Provider team, you will lead the design, development, and production deployment of AI/ML solutions for image classification, text categorization, and data extraction from scanned TIF documents. You will architect computer vision pipelines using CRNN architectures, integrate OCR technology with generative AI via Amazon Bedrock, and manage scalable training and inference pipelines on AWS SageMaker. The role involves building and managing a team of engineers while implementing MLOps practices like model versioning and drift detection. You will utilize Python, PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development, alongside Java or Groovy for microservice integration on AWS EKS. Your work focuses on solving complex document understanding problems by combining visual layout information with textual content to extract structured data from diverse documents.
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