Senior ML Engineer/Researcher

• Research, evaluate, and fine-tune open-source OCR and document intelligence models for text and layout extraction from complex PDFs.
• Develop end-to-end solutions for PDF-to-Markdown / PDF-to-HTML conversion with high accuracy in text structure, formatting, and layout retention.
• Build tools for data preprocessing, annotation, and quality evaluation of OCR outputs.
• Implement techniques for post-processing, text alignment, and metadata extraction to enhance model precision.
• Collaborate with research and engineering teams to integrate OCR pipelines into production-grade systems.
• Stay up to date with the latest developments in document AI, multimodal learning, and OCR research.

Tech Stack:

• Python
• vLLM
• Hugging Face (inference)
• Computer Vision
• PyTorch 

Requirements:

• 5+ years of experience in Machine Learning, with at least 2+ years focused on OCR, Document AI, or vision-language models.
• Strong hands-on expertise with Python, PyTorch, and Hugging Face Transformers (training, fine-tuning, inference).
• Practical experience deploying LLM / VLM models on vLLM or equivalent high-performance inference frameworks.
• Solid understanding of OCR pipelines, layout parsing, and document structure recognition (PDFs, scanned docs, tables, mixed content).
• Understanding of cloud infrastructure and GPU-based inference pipelines.
• Research mindset with the ability to experiment, analyze, and iterate quickly.
• Strong communication and documentation skills; ability to clearly present findings and proposed improvements.