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This role is for one of our client companies — a VC-backed Digital Document Infrastructure startup that has raised $6.5M 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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We are seeking a Machine Learning Engineer with 3+ years of experience to design, deploy, and scale advanced NLP and Computer Vision models. If you excel at turning unstructured document data into production-ready AI solutions, we want to hear from you.
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• Design, develop, and deploy ML models for document intelligence, content processing, and automated information extraction.
• Build end-to-end ML pipelines for processing unstructured text, images, scanned documents, and PDFs.




• Develop and improve NLP and CV solutions for document classification, entity extraction, semantic search, and document understanding.
• Experiment with deep learning architectures, Transformers, and LLM-based approaches to solve real-world document processing challenges.
• Convert research prototypes and experimental models into reliable, scalable, production-ready systems.
• Evaluate model performance using appropriate metrics, statistical analysis, benchmarking, and error analysis.
• Optimize model accuracy, inference speed, scalability, and resource utilization for production workloads.
• Build and maintain REST APIs and integrate ML models into existing product workflows.

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• 3+ years of hands-on experience in Machine Learning Engineering, with a robust focus on Computer Vision, NLP, or document intelligence.
• Strong proficiency in Python, with experience writing production-quality, maintainabl

📌 ML Engineer (India)
🏢 CodeRound AI
📍 India