Description :

Experience : 4 to 10 Years

Joining Immediate / 15 Days

Key Responsibilities :

Data Cataloging & Management :

- Maintain well-structured catalogs of video and image datasets with consistent labeling, tagging, and metadata.

- Organize, version, and maintain datasets to enable efficient reuse across multiple AI/ML projects.

- Ensure data integrity, traceability, and auditability across the data lifecycle.

Video & Image Data Processing :

- Handle and analyze large volumes of video and image data used for computer vision and AI models.

- Work with annotated datasets and ensure accuracy, completeness, and consistency of visual data.

- Support data preparation for training, validation, and testing of ML models.

Tool Development & Automation :

- Build or support internal tools and scripts to automate data ingestion, validation, quality checks, and reporting.

- Improve data pipelines to enable faster experimentation and model iterations.

Accuracy Computation & Reporting :

- Implement evaluation workflows to calculate model performance metrics such as accuracy, precision, recall, F1-score, etc.

- Generate and maintain regular reports to track model performance, data quality, and dataset coverage.

- Provide insights to help ML teams improve model reliability and performance.

- Coordinate with ML engineers, QA teams, and product stakeholders to manage the complete data lifecyclefrom collection and annotation to evaluation and reporting.

- Ensure timely delivery of high-quality data to support AI development.

Qualifications & Skills :

- B.Tech from a recognized university.

- 4 to 10 years of professional experience in data analysis, preferably in video and image-based domains.

- Strong hands-on experience with Python (pandas, NumPy), SQL, and Excel for data analysis and reporting.

- Experience with video and image annotation workflows, dataset versioning, and evaluation techniques.

- Familiarity with automation tools and scripting for data processing and validation.

- Ability to manage tasks, mentor junior team members, and ensure quality deliverables.

- Good communication, coordination, and documentation skills.