Job Title:Data Engineer - ML Training Data Pipeline

Notice period: 0-30 Days

Experience : 5+ Years

Location: Hyderabad OR Pune

We are looking for Data Engineer - ML Training Data Pipeline who can Build and maintain the data pipeline that transforms raw production traces into high-quality training datasets for LLM fine-tuning-ingestion, deduplication, format conversion, quality filtering, and train/test splitting at scale on AWS.

What We Expect:

- Build end-to-end data pipelines: raw trace ingestion → dedup → format conversion → quality gating → training-ready datasets
- Process large-scale JSONL data on AWS S3 (tens of thousands of traces per batch)
- Convert between chat-completion formats (e.g., OpenAI → Llama 3.1 tool-calling format)
- Implement smart deduplication and sampling to balance training distribution
- Design identity-aware train/test splits that measure true generalization
- Build data validation gates to detect schema drift and format anomalies
- Create a continuous pipeline that auto-processes new production traces for retraining

Requirements

- Experience: 6+ years data engineering focused on ML data pipelines
- Python: Strong — pandas, pyarrow, JSONL processing at scale
- ML Data Libraries: HuggingFace Datasets,



Arrow-based storage
- Data Formats: Multi-turn conversation/chat data structures and tokenizer-specific formatting
- Deduplication: Content hashing, identity-based grouping strategies
- AWS: S3, EC2, batch processing workflows

Preferred (Not Required): LLM training data prep (chat templates, tool-calling schemas); Axolotl or similar dataset formats; data versioning (DVC, LakeFS); browser-automation trace data or Playwright.

Advantages

- Comprehensive Medical Coverage: Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.

- Robust Protection Plans: Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.

- Retirement Benefits: PF and Gratuity provided as per standard government regulations.
- Flexible Work Options: Enjoy hybrid work arrangements & flexible working hours.
- Generous Leave Policy: 21 days of annual leave, in addition to 10 company-declared holidays.

- Employee Well-being Spaces: Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.

📌 Data Engineer — ML Training Data Pipeline (Hyderabad)
🏢 DataEconomy
📍 Hyderabad