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.

Perks
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 gover

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