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Job Title:DataEngineer - ML Training Data Pipeline
Notice period: 0-30 Days
Experience : 5+ Years
Location: Hyderabad OR Pune
We are looking for DataEngineer - ML Training Data Pipeline who can Build and maintain the data pipeline that transforms rawproduction traces into high-quality training datasets for LLM fine-tuning-ingestion, deduplication, format conversion, quality filtering, and train/testsplitting 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.
Benefits
- 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.
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