Machine Learning/ AI Developer

25 000 - 27 500 PLNNet per month - B2B

Machine Learning/ AI Developer

Other

Krakow, Kraków

INFOPLUS TECHNOLOGIES

25 000 - 27 500 PLN
Net per month - B2B
Full-time
B2B
Mid
Hybrid

Tech stack

    English

    B2

    Machine Learning

    advanced

    AI

    regular

    Python

    regular

Job description

🤖 Machine Learning Developer

Location: Hybrid – Kraków, PolandContract Type: B2BDuration: 6+ months (potential for extension)

Are you passionate about solving complex problems at the intersection of machine learning, OCR, and generative AI? We’re looking for a skilled Machine Learning Developer to join a forward-thinking team working on cutting-edge document processing solutions.

This hybrid role (partially onsite in Kraków) is ideal for someone who thrives in a fast-paced environment, enjoys building production-ready AI systems, and wants to work closely with product and business stakeholders.


🧠 What You’ll Do

  • Build and deploy production-grade ML models for intelligent document processing and content classification.

  • Collaborate with business teams to shape ML solutions that directly solve real-world challenges.

  • Design and develop Python-based components for NLP, OCR, and image processing.

  • Participate in the full ML lifecycle: from data preprocessing and model training to deployment, testing, and production support.

  • Work cross-functionally with product managers and technical leads to continuously enhance existing products.


What You Bring

  • Proven experience in Document AI / Intelligent Document Processing, including use of open-source and generative AI models.

  • Strong Python development skills with a focus on ML, deep learning, NLP, OCR, and image analysis.

  • Experience with frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, and Regex.

  • Solid understanding of deploying secure, resilient code into production environments.


💡 Nice to Have

  • Experience with PostgreSQL for data handling.

  • Familiarity with Microsoft Azure – especially Azure VMs, AKS, Azure DevOps, or Azure CLI.

  • Experience working in agile teams with high-cadence releases to production.

Published: 22.08.2025
Office location