Senior ML Engineer - Document Digitization & LLMs

Testing Site - JPMC; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Testing Site - JPMC is seeking an experienced Machine Learning Engineer - Document Digitization (LLMs) to design, develop, and deploy secure AI-powered document processing solutions in a VP-level capacity. The role focuses on extracting insights from diverse documents and automating workflows with generative AI, LLMs, and cloud platforms.

You will mentor engineers, manage the full ML lifecycle, and collaborate across teams to drive governance, security, and measurable business impact in a

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field.
• Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).
• Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.
• Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).
• Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.
• Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
• Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).
• Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.
• Strong understanding of SDLC, CI/CD, resiliency, and security practices.
• Demonstrated ability to accelerate development using AI technologies.
• Experience deploying and maintaining AI/ML solutions in large-scale, production environments.

Responsibilities

• Lead the 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 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 Terraform and AWS services (SageMaker, Bedrock).
• Ensure scalability, reliability, security, and governance of AI/ML solutions in line with best practices.
• 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 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.

Skills

Python

Java

Front-end basics

ML/AI development

ML frameworks

Generative AI

LLMs

AWS SageMaker

AWS Bedrock

Docker/Kubernetes

Terraform

NoSQL databases

CI/CD

Security practices

SDLC

Autonomous coding

Problem solving

Communication

Education

Bachelor's/Master's in CS/DS/ML

Tools

Docker

Kubernetes

SageMaker

Bedrock

Terraform

Job description

Testing Site - JPMC is seeking an experienced Machine Learning Engineer - Document Digitization (LLMs) to design, develop, and deploy secure AI-powered document processing solutions in a VP-level capacity. The role focuses on extracting insights from diverse documents and automating workflows with generative AI, LLMs, and cloud platforms.

You will mentor engineers, manage the full ML lifecycle, and collaborate across teams to drive governance, security, and measurable business impact in a