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python rag transformers tensorrt ocr📋 Description
- Design, train, evaluate, and optimize document intelligence models.
- Build end-to-end ML pipelines: datasets, training, inference, deployment.
- Develop models for OCR, layout detection, structured extraction at scale.
- Collaborate with product, engineering, design to ship AI features.
- Address robustness, latency, observability, guardrails in production.
- Experiment with frontier and open-source models for doc tasks.
🎯 Requirements
- 5+ years of Python experience
- Train, fine-tune, and deploy CV models for document tasks
- Hands-on doc understanding with LayoutLM/Donut/DocFormer
- Modern vision-language models with OCR
- Deploy/optimize models with vLLM, TGI, TensorRT, ONNX
- LLMs for document workflows
- Spatial reasoning for forms and documents
🎁 Benefits
- Honest culture emphasizing feedback and growth
- Work from anywhere — distributed worldwide
- 6 self-care days
- Competitive salary
- And much more!
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