Machine Learning Developer

19 hours ago

Kraków Warszawa, Czech Republic Antal Full time

Must have:

  • Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI.
  • Strong Python programming skills and experience with ML, DL, NLP, OCR.
  • Proficiency with frameworks such as PyTorch, TensorFlow, HuggingFace, Spacy, OpenCV, Regex, or similar.
  • Awareness of secure coding, resilience and deployment best practices for production environments.

Nice to have:

  • Experience with PostgreSQL and/or Azure (Azure DevOps, AKS, CLI, VM).
  • Familiarity with CI/CD and high-frequency production deployment environments.
Machine Learning Developer – Document AI / Generative AI

📍 Location: Kraków/Warsaw (Hybrid)
📄 Contract type: B2B only
🏦 Industry: Banking / KYC / Client Onboarding

We are currently looking for an experienced Machine Learning Developer to join a strategic global banking initiative within the Onboarding and Know Your Customer (OBKYC) stream. This area is key to enabling seamless onboarding and client verification for a wide range of clients – from sole traders to international corporations.

You’ll join a cross-functional, global team of engineers, data scientists, and product managers working to drive the adoption of AI/ML solutions for document classification, data extraction and Generative AI-based automation.

What we offer:
  • Opportunity to work on global AI transformation projects in one of the world’s leading financial institutions.
  • High-impact work on real business challenges – your models will go into production.
  • Access to a modern ML tech stack and supportive expert teams.
  • Hybrid working model 
  • B2B contract only.
📩 Interested?

Let’s talk Apply now or reach out directly to learn more about the team, project and technical challenges we’re solving.

,[Build production-grade ML models for document classification and content extraction (images and text)., Develop OCR/NLP-based AI components in Python using modern AI frameworks., Work closely with product teams and business stakeholders in an iterative, agile environment., Contribute to the full lifecycle of ML products – from development and testing to deployment and support., Help shape future-state architecture and scalable AI-based platforms.] Requirements: Document AI, Intelligent Document Processing, Generative AI, Python, ML, NLP, OCR, PyTorch, TensorFlow, Hugging Face, spaCy, OpenCV, PostgreSQL, Azure DevOps, AKS, CLI, CI/CD

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