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KoiReader Technologies

AI-powered computer vision for logistics

NLP Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong experience in Python and writing fault-tolerant code.
  • Exposure to optical character recognition, text processing, OpenCV, NumPy, and text-based machine-learning and deep-learning algorithms.
  • Knowledge of Keras, TensorFlow, and PyTorch.
  • Knowledge of natural language processing and natural language understanding, including NLTK, spaCy, and Flair.
  • Good understanding of optimizing data-processing pipelines.
  • Command of geometry, statistics, and writing complex algorithms.
  • Ability to work and thrive in a startup environment, learn rapidly, and master diverse web technologies and techniques.

Responsibilities

  • Leverage open-source code and libraries to quickly experiment and build novel solutions.
  • Independently devise solutions to complex requirements using strong logical reasoning.
  • Analyze current products in development, including performance, diagnosis, and troubleshooting.
  • Work with the existing framework and help evolve it by building reusable code and libraries.
  • Research and introduce new software-related technologies, processes, and tools to the team.

About the Company

KoiReader Technologies

AI-powered computer vision for logistics

KoiReader Technologies provides AI-powered vision and automation solutions for logistics, supply chain, and industrial operations. Its core product, the KoiVision Digital Operations Platform, combines machine vision, generative AI, and digital twin tech to deliver real-time operational insights and automate processes in warehousing, yard management, manufacturing, and retail. It uses AutonomousOCR to read and digitize data from freight documents and labels in fast-paced or damaged conditions, running on a cloud-native, containerized microservices architecture. The company differentiates itself with a patented Visual Cognitive Engine (over 18 patents) and partnerships with NVIDIA, Kinetic Vision, and Intel to enable end-to-end digital twins and simulations that optimize operations before deployment, with a goal to increase throughput and reduce manual data entry across complex supply chains.

Company size
51-200
Company stage
N/A
Total funding
$120K
Headquarters
Dallas, TX
Founded
2017

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