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This role is for one of our client companies — a VC-backed Construction Technology (ConTech) startup that has raised $49.7M USD in funding.
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Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

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CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

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Research Engineer-I focused on developing AI solutions using Deep Learning, Computer Vision, Image Processing, NLP, and multimodal models for automated document understanding, supporting the complete lifecycle from research and prototyping to production deployment.

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Contribute to research and development in Computer Vision, Image Processing, and Deep Learning
Build and optimize models for extracting insights from blueprints, scanned PDFs, and SVG files




Contribute to development of multi-modal models integrating vision with NLP/LLMs
Follow best practices in data-centric development, experiment tracking, model validation, and reproducibility
Collaborate with software engineers, ML researchers, and product teams
Write clean, scalable, production-ready Python code using PyTorch, TensorFlow, or HuggingFace
Stay updated with the latest research in computer vision and machine learning and evaluate its applicability

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1–3 years of experience in applied AI/ML and research with a robust focus on Computer Vision and Deep Learning
Solid understanding of image processing, visual document understanding, and feature extraction from visual data
Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning
Proficiency in Python
Experience with PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers
Strong anal

📌 Research Engineer I (India)
🏢 CodeRound AI
📍 India