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Machine Learning Engineer (Praca zdalna)

emagine Polska

Warszawa +1 więcej
Zdalna
B2B
Machine Learning
PyTorch
Tesseract
Regex
TensorFlow
OCR
EasyOCR
Spacy
OpenCV
Hugging Face
💼 B2B
🌐 Zdalna
Pełny etat
🔄 DevOps
CI/CD
☁️ Azure Machine learning
📊 Databricks
🐍 Python

Name

Machine Learning Engineer

AI/ML

-, Kraków

emagine Polska

Full-time

B2B

Senior

Remote

Tech stack

Machine Learning

advanced

Regex

advanced

OpenCV

advanced

Spacy

advanced

Hugging Face

advanced

PyTorch

advanced

TensorFlow

advanced

EasyOCR

advanced

Tesseract

advanced

OCR

advanced

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

Wyświetlenia: 1
Opublikowana7 dni temu
Wygasaza 23 dni
Rodzaj umowyB2B
Tryb pracyZdalna
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