Document Processing

Document Processing Data Jobs

3 jobs found

30d ago

AI Engineer

Marathon TS Remote 🌍 Remote

Remote

30d 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, within its Risk Decision Group, is hiring an AI Engineer to help build LLM and document-intelligence capabilities on a greenfield data and AI platform for a high-trust federal environment. This is a hands-on, near-term product demonstration focused on delivering working pipelines and transferring knowledge to an internal team over a one-year contract (with an option to extend). The role requires active T5/SSBI clearance.

What you will 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 that supports meaningful evaluation results.
Stand up an evaluation harness covering retrieval quality, groundedness, hallucination checks, structured-output validity, and human-in-the-loop review, with results reported in numbers.
Package deliverables as jobs and Asset Bundles, tracked in MLflow, and document everything needed for internal ownership.

Security and compliance

U.S. citizenship and an active T5/SSBI federally adjudicated clearance are required.
Top Secret clearance is required.

Qualifications

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 experience.
Document processing at scale: OCR, layout-aware parsing, chunking tradeoffs, and handling poor-quality sources.
Local or self-hosted LLM serving, such as vLLM, TGI, Ollama, llama.cpp, or equivalent, including running open-weight models in an isolated or air-gapped environment without relying on external API endpoints.
Structured extraction and grounded generation with source attribution.
LLM evaluation methodology, including how correctness was measured and what the evaluation missed.
Privacy-preserving synthetic data generation from CUI, PII, or similarly restricted data, including understanding of re-identification risk.
Strong Python.
Government or defense contracting experience.

Preferred experience

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

Role logistics

Location: Remote
Job type: Contract
Engagement: 1-year engagement (option to extend)
Pay: $82.00 - $92.00 per hour (USD)

Relevant technologies

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

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1mo ago

Data Analyst / Data Scientist (m/f/diverse)

Lufthansa Cargo AG Los Angeles, CA

Los Angeles, CA

1mo ago Closed

Full time Document Processing Freight Forwarding Operations

This position is no longer accepting applications (closed Sep 2, 2026).

Job Description

Join an onsite role supporting accurate air cargo and mail processing, including documentation control, dangerous goods checks, and coordinated shipment close-out under professional supervision.

Responsibilities

Perform documentary acceptances for cargo and mail
Capture shipment data to support accurate processing
Prioritize export build-up and import breakdown activities
Prepare export and import documentation, including Manifests and AWBs
Handle shipment irregularities, including MSCA, MSAW, FDCA, and damages
Prepare NOTOC
Complete close out flight tasks
Manage customer contact (notify customers as needed)
Hand over AWB and documents to customers
Perform debit charges
Conduct Dangerous Goods (DG) acceptance checks in line with current IATA Dangerous Goods Regulations (DGR), Lufthansa Cargo policies, and applicable regulatory requirements
Apply carrier-specific DG requirements and restrictions for other airlines operating within the facility
Coordinate with Sales teams regarding priority, time-critical, and special-handling shipments to ensure timely processing and compliance
Support other duties as assigned

Requirements

High school diploma/GED (desirable)
2-3 years of experience in logistics or air cargo industry (desirable)
English fluency required
Computer skills as a user
Strong detail orientation
Good cost consciousness
Strong communication skills
Understanding of mathematical concepts
Problem solving skills
Strong quality consciousness
Productivity-driven working style
Strong reasoning ability
Strong safety and security mindset
Willingness to work shifts
Ability to manage constant time pressure
Ability to handle high stress levels
Must possess a legal work permit in the U.S.
CV/Resume required
No relocation assistance provided by the company

Location

Los Angeles, CA (onsite)

Benefits

Flight privileges
15-20 vacation days
401k plan
Commuter benefits
Education
Employee Assistance Program
Family policy
Flex holidays
Healthcare
Life insurance
Long disability
Short disability
Up to 60 sick days

Diversity and Equal Opportunity

Commitment to Diversity, Equity, Inclusion, and Belonging
Equal opportunity employer; no discrimination based on protected characteristics under applicable federal, state, and local laws

About Lufthansa Cargo AG

Headquartered in Frankfurt am Main, Germany; subsidiary of Deutsche Lufthansa Aktiengesellschaft
Ranks among the world’s leading air freight carriers; about 4,150 employees worldwide
Focuses on airport-to-airport business
Serves around 300 destinations in more than 100 countries
Operates freighters and belly capacities of passenger aircraft, plus road feeder service network
Most cargo volume routed through Frankfurt Airport
Company website: www.lufthansa-cargo.de

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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 at JPMorgan Chase, focusing on designing, building, and deploying AI powered document digitization solutions with LLMs in Jersey City, NJ (onsite).

Responsibilities

Lead the design, development, and integration of AI powered document digitization solutions to extract information from diverse document types.
Oversee the end-to-end AI/ML lifecycle: training, validation, deployment, monitoring, and production grade continuous improvement.
Apply generative AI and large language models to automate and optimize document workflows.
Build and maintain scalable digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources with infrastructure as code tools (Terraform) and AWS services such as SageMaker and Bedrock.
Ensure scalability, reliability, security, and governance compliance of AI/ML solutions.
Collaborate with cross functional teams to reimagine legacy document processing using generative AI and LLMs.
Develop 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 reviews, 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 a 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 or 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 environments (CI/CD, automated testing, deployment strategies, monitoring, incident response).
Working knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning) focused on integrating models and services 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) and their use in document search and knowledge retrieval.
Experience with agentic coding approaches, autonomous/assisted code agents, orchestration patterns, and tool-use/agent frameworks to accelerate digitization workflows.
Strong understanding of SDLC, CI/CD, resiliency, and security practices; proven problem solving, communication, and collaboration skills.
Demonstrated 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 JPMorganChase

JPMorganChase is a long standing financial services institution serving consumers, small businesses, and large organizations worldwide under the J.P. Morgan and Chase brands. With a history spanning more than 200 years, the firm leads in investment banking, consumer and small business banking, commercial banking, payments processing, and asset management.

About the Team

Corporate Functions teams cover a broad range of areas from finance and risk to human resources and marketing. These professional groups play a key role in enabling business success for clients, customers, and employees across the organization.

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Document Processing Data Jobs

AI Engineer

Data Analyst / Data Scientist (m/f/diverse)

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

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