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Machine Learning / AI Developer (OCR, NLP, Production Focus) (Remote)

emagine Polska

Kraków
160 - 200 PLN
Remote
B2B
Machine Learning
PyTorch
Tesseract
🤖 AI
Regex
TensorFlow
EasyOCR
Spacy
OpenCV
Hugging Face
💼 B2B
🌐 Remote
Vollzeit

Name

Machine Learning / AI Developer (OCR, NLP, Production Focus)

AI/ML

-, Kraków+4 Locations

emagine Polska

160 - 200PLN

Net per hour - B2B

Full-time

B2B

Mid

Remote

Tech stack

Machine Learning

regular

PyTorch

regular

Tesseract

regular

AI

regular

Regex

regular

TensorFlow

regular

EasyOCR

regular

Spacy

regular

OpenCV

regular

Hugging Face

regular

Job description

Location: Remote (occasional onsite possible)

Team: 6–8 people (Lead, Senior, Mid-level Developers)

Focus: Production-grade AI for content extraction and classification (text & image)

About the Role

We’re building a brand-new AI team from scratch. The mission: to design, build, and deploy real-world AI/ML models that extract and classify information from text and images. The focus is on solving actual business problems with production-ready AI – not just prototypes.

Your Responsibilities

  • Build and deploy production-grade ML/AI models for document content extraction and classification (text + image)

  • Work with OCR technologies and NLP methods on unstructured and semi-structured documents

  • Collaborate with product managers and stakeholders to define use cases and deliver working AI solutions

  • Build and maintain Python-based components and pipelines, including model deployment

  • Define and clearly explain practical application scenarios for your models

  • Ensure safe, secure, and resilient model deployment in production environments

Must-Have Requirements

  • Minimum 2 years of hands-on experience deploying ML/AI models into production environments

  • Strong experience with OCR, including open-source tools (e.g. Tesseract, EasyOCR)

  • Solid knowledge of at least one major ML/NLP/CV framework: TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV

  • Experience with open-source machine learning tools and classical ML methods (not only GenAI)

  • Practical experience in Regex, NLP, and text/image classification

  • Ability to articulate how a model works in a real-world business scenario

  • Experience with AI agents or systems that orchestrate multiple AI components

  • Strong coding skills in Python with a focus on secure, production-ready development

Nice to Have

  • Experience with Document AI or Intelligent Document Processing (IDP)

  • Familiarity with PostgreSQL

  • Experience working with Microsoft Azure services (AKS, DevOps, CLI, VMs)

  • Understanding of CI/CD pipelines and frequent deployment cycles

Published: 16.08.2025

Office location

Aufrufe: 1
Veröffentlichtvor 7 Tagen
Läuft abin 23 Tagen
Art des VertragsB2B
ArbeitsmodusRemote
Quelle
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