ML Engineer (Upto 25 LPA)

Job Title: ML Engineer (Upto 25 LPA) Company: CodeRound AI Job Category: Machine Learning Roles & Responsibilities: This role is for one of our client companies — a VC\-backed Digital Document Infrastructure startup that has raised $6\.5M USD in funding. * 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. Work Location: India Availability: Full time

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. 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. * 3\+ years of hands\-on experience in Machine Learning Engineering, with a strong focus on Computer Vision, NLP, or document intelligence. * Strong proficiency in Python, with experience writing production\-quality, maintainable code. * Practical experience building, training, evaluating, and deploying machine learning and deep learning models. * Strong understanding of deep learning architectures, including CNNs and Transformers, along with fundamental ML algorithms, mathematics, and statistics. * Experience with PyTorch and the Hugging Face Transformers ecosystem. * Hands\-on experience with unstructured text and document data, including text classification, information extraction, document understanding, or semantic search. Key Skills: Machine Learning, Python, PyTorch, NLP, Computer Vision Salary: $6