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.
- Positive communication and documentation skills.