Machine Learning Engineer - Document Digitization (LLMs)-Vice President

Responsibilities

• Lead end-to-end design, development, and integration of AI powered document digitization solutions to extract data and insights from diverse document formats.
• Manage the full AI/ML lifecycle: training, validation, deployment, monitoring, and ongoing improvements in production environments.
• Apply generative AI and 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 with infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
• Ensure scalability, reliability, security, and governance compliance of AI/ML solutions.
• Collaborate with cross functional teams to reimagine legacy document processing with 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 across 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.

Requirements

• Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
• Strong proficiency in Python for building production grade AI services and data/document pipelines.
• Strong working proficiency in Java, including API and microservice development with Spring Boot; familiarity with front end technologies (React.js, AngularJS) is a plus.
• Hands-on experience delivering LLM powered GenAI applications in production (document understanding, retrieval augmented generation, workflow automation), including evaluation, observability, guardrails, and continuous improvement.
• Experience with MLOps / LLMOps practices in production (CI/CD, automated testing, deployment strategies, monitoring, incident response).
• Working knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning) with emphasis on integrating models into scalable systems.
• Experience with AWS and cloud native delivery including SageMaker and/or Bedrock, containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
• Familiarity with NoSQL / search / graph technologies (MongoDB Atlas, Elasticsearch/OpenSearch, Neo4j) for document search and knowledge retrieval.
• Experience with agentic coding approaches, autonomous/assisted code agents, orchestration patterns, and tool-use/agent frameworks to accelerate document digitization workflows.
• Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving, communication, and collaboration skills.
• Proven ability to accelerate development using AI technologies while maintaining engineering rigor (testing, code quality, governance).

Technologies

• Python
• Terraform
• AWS SageMaker
• AWS Bedrock
• Docker
• Kubernetes
• Amazon EKS
• Java
• Spring Boot
• React.js
• AngularJS
• TensorFlow
• PyTorch
• Scikit-learn
• PyTorch Lightning
• MongoDB Atlas
• Elasticsearch/OpenSearch
• Neo4j
• LLMs

Benefits

• Equity/stock-based compensation
• Competitive base salary
• Commission-based pay and/or discretionary incentive compensation
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.