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JPMorganChase Logo

Vice President-Applied AI/ML Lead

JPMorganChase

Salary not specified
Nov 7, 2025
Jersey City, NJ, United States of America
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JPMorganChase is looking to transform how documents are processed and managed through the application of cutting-edge AI and machine learning. The goal is to extract, analyze, and manage information from documents to drive strategic business outcomes and improve efficiency.

Requirements

  • Hands-on experience in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS)
  • Experience with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J)
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, Pytorch Lightning)
  • Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models)
  • Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)
  • Skills in containerization and orchestration (Docker, Kubernetes, Amazon EKS)
  • Solid understanding of software development life cycle, agile methodologies, and data engineering

Responsibilities

  • Lead the development and integration of AI-powered document management solutions, focusing on extracting information and insights from diverse document types
  • Employ advanced natural language processing, generative AI, and large language models to automate and optimize document workflows
  • Design, implement, and deploy machine learning models and algorithms to enhance document processing and prediction capabilities
  • Oversee the full MLOps lifecycle, including model design, experimentation, deployment, monitoring, and maintenance in production environments
  • Ensure scalability, reliability, and security of AI/ML solutions
  • Analyze large, complex datasets to extract actionable insights and inform business decisions
  • Develop effective visualizations and reporting tools to communicate findings to stakeholders

Other

  • Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience
  • Experience deploying and maintaining AI/ML solutions in large-scale, production environments
  • Strong problem-solving, communication, and collaboration skills
  • Experience in financial services, especially investment banking or credit risk operations
  • Experience in design/code reviews and mentoring teams