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Pythonic AI

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About

Pythonic provides intelligent document processing solutions that read and understand unstructured documents with state-of-the-art precision. Their Precision-first AI highlights data that can’t be processed, simplifying human review. They focus on automating labor-intensive tasks in document workflows involving unstructured data, such as PDFs, in industries like title and escrow and life insurance. Pythonic offers solutions built with domain expertise, SOC2 certified security, and pre-trained models for easy integration.

Platform
Web
Keywords
machine learningautomationdocument aititle & escrow
Task
document processing

Features

document classification

data extraction

document summarization

intelligent document processing

document comparison

deduplication

document routing

Job Opportunities

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Pythonic AI

SENIOR BACKEND ENGINEER

Pythonic provides intelligent document processing solutions for the title & escrow industry, automating data extraction and processing with high accuracy.

engineeringonsitefull-time

Experience Requirements:

  • 8+ years of relevant industry experience

Responsibilities:

  • Build backend systems and APIs to provide scalable solutions to our customers

  • Work with data scientists, business analysts, front-end and data engineers, to define develop and improve products by automating or auto-assisting workflows for customers

  • Lead the software development lifecycle, from conception to production

  • Work with cloud security engineers to ensure the product meets security standards (e.g. SOC-2)

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SENIOR ML ENGINEER (SENIOR MACHINE LEARNING ENGINEER)

Pythonic provides intelligent document processing solutions for the title & escrow industry, automating data extraction and processing with high accuracy.

Education Requirements:

  • Thorough understanding of Machine Learning fundamentals

Experience Requirements:

  • Experience building deep-net models

  • Experience with PyTorch or TensorFlow

  • Excellent problem-solving ability

Responsibilities:

  • Own the end-to-end solution to automate workflows involving intelligent document processing

  • Research and develop the right ML/AI models to solve business problems

  • Implement solutions and guide the deployment

  • Guide the data engineering team on collecting training data

  • Guide development of exception handling to provide an end-to-end solution integrating actively labeled data in real-time evolving models to achieve state-of-the-art precision

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