Data Operations Lead
- Рівень:
- lead
- Джерело:
- djinni.co
Що робити
- Planning & Prioritization: Plan and prioritize dataset projects in alignment with the ML team's roadmap and product goals.
- Synthetic Data Generation Ownership: Own the synthetic data generation direction — coordinate pipeline development, prioritize scenarios, and control the quality of generated data.
- Manual Data Annotation Team Ownership: Lead the manual data annotation team — handle hiring, onboarding, performance reviews, tool training, and quality control.
- Team Coordination: Coordinate dataset engineers and the annotation team — assign tasks, track progress, and balance workloads.
- Requirements Alignment: Align dataset requirements with ML engineers — translate ML model training needs into dataset specifications and definition of done (criteria of readiness).
Що очікуємо
- 2+ years of experience in a similar role.
- People Management: Proven experience in direct management — hiring, developing, and building workflows for manual annotators.
- Data & ML Literacy: Solid understanding of the ML lifecycle and experience working with data (knowledge of data types, structures, and processing methods).
- Synthetic Data: Understanding of synthetic data generation principles and automated data collection approaches.
- Analytical Skills: Ability to forecast capacity, identify process bottlenecks, and propose optimization solutions.
Що пропонуємо
- Knowledge of the MilTech / DefTech market.
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