Synthetic Data Engineer (AI Data/Training)

📋 Description

• Design domain-specific synthetic data generation pipelines.
• Ensure high-quality data management for training loops.
• Drive data processing and model training success.

🎯 Requirements

• Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
• Deep knowledge of prompt engineering for data generation.
• Familiarity with dataset distillation and bias mitigation.