Synthetic Data Engineer (AI Data/Training)

📋 Description

• Design domain-specific SDG pipelines via self-instruct and prompting.
• Implement automated quality scoring and de-duplication.
• Manage pipelines feeding SFT and DPO training loops.

🎯 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.