Document Intelligence at Scale: power layout detection and extraction.
End-to-end ML systems: design and ship production AI features.
Real-world ML challenges: tackle robustness, latency, observability, guardrails.
Deep GenAI integration: experiment with frontier/open-source GenAI models.
In this role you will: build datasets, training, inference, and deployment pipelines.

🎯 Requirements

5+ years of Python development experience.
Experience training, fine-tuning, deploying CV models for documents.
Hands-on with document understanding frameworks (LayoutLM, Donut, DocFormer).
Deploy/optimize models with vLLM, TGI, TensorRT, ONNX Runtime.
LLMs for document workflows, frontier and open-source.
Strong spatial reasoning for forms and absolute positioning.

🎁 Benefits

Honest, open culture with growth and feedback.
Work from anywhere — distributed worldwide.
6 self care days.
Competitive salary.
And much more!

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