JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to a diverse clientele. The Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate will design, develop, and deploy AI-powered solutions for document management, collaborating with cross-functional teams to drive strategic business outcomes.
Responsibilities:
- Design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types
- Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments
- Employ generative AI, and large language models (LLMs) to automate and optimize document workflows
- Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies
- Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock)
- Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards
- Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs
- Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact
- Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing
- Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy
- Contribute to communities of practice and explore new and emerging technologies