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About the role
Years of Experience: 3-8 Years Location: Noida Work from Office Job Description The role involves managing and organizing large-scale video datasets, building automation tools, and ensuring accurate performance evaluations of models. The ideal candidate should be proactive, hands-on, and capable of handling a small team. Key Responsibilities Data Cataloging & Management - Maintain structured catalogs of video data with consistent labeling and metadata. - Organize datasets for efficient access, versioning, and reuse across model development cycles. Tool Development & Automation - Build or assist in developing internal tools to automate data handling, quality checks, and reporting. - Streamline data pipelines to support rapid model development and testing. Accuracy Computation & Reporting - Implement evaluation pipelines to compute model metrics such as accuracy, precision, recall, etc. - Generate regular performance reports to support model tuning and validation efforts. Team Collaboration & Coordination - Lead a small team (up to 3 members) in daily data-related activities, ensuring quality and timely delivery. - Coordinate with ML engineers, QA teams, and product stakeholders for end-to-end data lifecycle management. Qualifications & Required Skills - B.Tech - Experience in data analysis, preferably in video/image-based domains. - Desirable knowledge of data handling tools like Python (pandas, NumPy), SQL, and Excel. - Familiarity with video annotation workflows, dataset versioning, and evaluation techniques. - Experience in building or using automation tools for data processing. - Ability to manage tasks and mentor junior team members effectively. - Valuable communication and documentation skills. .
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