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𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
This role is for one of our client companies — a VC-backed Construction Technology (ConTech) startup that has raised $49.7M USD in funding.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 40LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴
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.
🚀 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 - 𝗜 (1+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
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.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
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
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
1–3 years of experience in applied AI/ML and research with a strong 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 analytical and problem-solving skills
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
Own meaningful product decisions from day one at a funded startup
Work with a sharp team shipping fast in a high-growth environment
Accelerate your career with outsized responsibility and visibility
Build something that scales — not slide decks
Work arrangement
No
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