Document Processing

Document Processing Engineer Jobs

2 jobs found

1mo ago

AI Engineer

Marathon TS Remote 🌍 Remote

Remote

1mo ago Closed

$82 - $92/hr Contract Artificial Intelligence Big Data Cloud Platform

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

Marathon TS is hiring an AI Engineer for its Risk Decision Group to advance LLM and document-intelligence capabilities on a greenfield data and AI platform built for a high-trust federal environment. This is a hands-on, near-term product demonstration effort with documentation and transfer to an internal team over a 1-year contract (with an option to extend). Active T5/SSBI clearance and U.S. citizenship are required.

What You’ll Do

Build RAG and document-processing pipelines on the Databricks lakehouse, including ingestion, OCR for mixed-quality sources, chunking, embedding, and retrieval.
Create LLM workflows for summarization, structured extraction, and evidence-grounded generation with source attribution.
Develop synthetic document corpora with fidelity and quality variation needed to produce meaningful results.
Stand up an evaluation harness covering retrieval quality, groundedness and hallucination checks, structured-output validity, and human-in-the-loop review, and report results in numbers.
Package deliverables as jobs and Asset Bundles, track work in MLflow, and document what the internal team needs to own the system.

Core Requirements

U.S. citizenship and active T5/SSBI federally adjudicated clearance.
8+ years building applied ML/AI or data systems, with demonstrated delivery of LLM and RAG systems you personally built (not notebook demos).
Hands-on Databricks.
Document processing at scale, including OCR, layout-aware parsing, chunking tradeoffs, and handling poor-quality sources.
Local or self-hosted LLM serving (vLLM, TGI, Ollama, llama.cpp, or equivalent), including running open-weight models in an isolated or air-gapped environment without reliance on external API endpoints.
Structured extraction and grounded generation with source attribution.
Experience with LLM evaluation methodology, including how you measured correctness and what the evaluation missed.
Privacy-preserving synthetic data generation from CUI, PII, or comparably restricted source data, including understanding re-identification risk.
Strong Python.
Government or defense contracting experience.

Technologies

Databricks, Databricks lakehouse, RAG, OCR, embeddings, LLM
vLLM, TGI, Ollama, llama.cpp
MLflow, Asset Bundles

Preferred Qualifications

RAG built inside a government or FedRAMP-authorized environment (examples listed: Azure OpenAI in GCC High, AWS GovCloud, Bedrock within an authorized boundary).
Experience handling FedRAMP Moderate, NIST 800-171, CMMC L2, or CUI.
Databricks capabilities and tooling including Databricks Vector Search, Mosaic AI Agent Framework and Agent Evaluation, Asset Bundles, and MLflow.
Experience with Unity Catalog governance.
Experience with H2O (h2oGPTe, Driverless AI).

Security, Location, and Pay

Security clearance: Top Secret (required)
Work location: Remote
Pay: USD 82 to 92 per hour
Job type: Contract

Application Screening Questions

Do you have at least 8 years of building applied ML/AI or data systems, with demonstrated delivery of LLM and RAG systems you personally built (not notebook demos)?
Do you have document processing at a scale involving OCR, layout-aware parsing, chunking tradeoffs, and poor-quality source handling?

View full job page →

1mo ago

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

JPMorganChase Jersey City, NJ

Jersey City, NJ

1mo ago Closed

$164k - $260k/yr Full time Ai Ml Amazon Eks Artificial Intelligence

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Senior Vice President level Machine Learning Engineer focused on designing, building, and deploying AI powered document digitization solutions using large language models to transform document processing and governance.

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.

View full job page →

Document Processing Engineer Jobs

AI Engineer

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

Get Document Processing Engineer Jobs alerts