AI ML Engineer

Iceberg; Washington, Baltimore (District of Columbia, MD); Hybrid; USD 130,000 - 150,000; Full time

Job summary

A legal tech company in Washington, DC is seeking an experienced AI/ML Engineer for a hybrid role. This position involves building intelligent systems to process various legal documents and requires 2+ years of experience in ML/NLP, specifically with OCR. The candidate must have strong Python skills and be able to work independently. Salary ranges from $130,000 to $150,000 per year.

Qualifications

• 2+ years in ML/NLP with experience in OCR or document parsing.
• Fluent in Python and frameworks like PyTorch, HuggingFace, LangChain.
• Experience with unstructured data and production-grade deployments.
• Ability to lead independently.

Responsibilities

• Design and deploy OCR pipelines to handle unstructured data.
• Automate redaction of sensitive information.
• Build LLM-based summarization and Retrieval-Augmented Generation systems.
• Lead end-to-end ML workflows.

Skills

Machine Learning

Natural Language Processing

Python

OCR

PyTorch

HuggingFace

LangChain

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Iceberg. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

2+ years creating AI/ML-grade production pipelines... Only apply if you have done this!!!

This role is just for US Citizens - You will need at least Public Trust Clearance.

We’re hiring a first-hire AI/ML Engineer for a legal tech company based in Washington, DC (hybrid). This is a hands-on role building intelligent systems that process large volumes of legal and government documents - from scanned PDFs to handwritten records.

This role is about autonomy, ownership, and production-level delivery. You’ll be building the data science function from the ground up.

What you’ll be working on:

• Designing and deploying OCR pipelines to handle unstructured and degraded data
• Automating redaction of sensitive information (PII, PHI, classified content)
• Building LLM-based summarization and Retrieval-Augmented Generation (RAG) systems
• Leading end-to-end ML workflows: from preprocessing to deployment

We’re looking for someone who:

• Has 2+ years in ML/NLP with experience in OCR or document parsing
• Is fluent in Python and frameworks like PyTorch, HuggingFace, LangChain, etc.
• Has experience with unstructured data and production-grade deployments
• Can lead independently, without waiting to be told what to build

If this sounds like you, or someone you rate highly, get in touch.

Send me a message or reach out at [e-mail]

#machinelearning #nlp #AIjobs #RAG #documentintelligence #OCR #datascience #hiring #washingtondc #publictrust #genai

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science

• Industries

  Government Administration and Government Relations Services

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