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Salary
≈ $16k – $39k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp

First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match
Humynlabs is an AI-first data intelligence platform enabling AI training and evaluation to deliver high-quality multimodal datasets with robust quality control for reliable, production-ready outcomes.

Requirements:

  • 4+ years in a data engineering role with end-to-end pipeline ownership.
  • Strong Python async patterns, subprocess management, API clients, and data processing at scale.
  • Hands-on AWS Athena, Glue, S3, DynamoDB, and Lake Formation; production-grade, not just familiarity.
  • Apache Hudi or Delta Lake schema evolution, partition strategies, and upsert patterns.
  • SQL proficiency: able to write and optimize complex analytical queries.
  • Experience with Airflow or an equivalent workflow orchestrator.
  • Demonstrated experience with large-scale media data pipelines, audio/video format conversion, metadata extraction, and chunking, e. g., egocentric or multimodal datasets (hard requirement, not a plus).
  • Understanding of how data format and I/O design affect downstream GPU compute workloads (WebDataset, sharded Parquet, tfrecord, or equivalent).

Nice to Have:

  • Direct experience designing data handoff for GPU clusters (AWS Batch GPU instances, Ray, or SLURM).
  • Familiarity with ML training data formats and dataset standards used by AI labs (Hugging Face datasets, WebDataset, dataset cards).
  • Experience with rclone, large-scale file transfer, or cloud-to-cloud sync pipelines.
  • Exposure to data lineage or provenance tooling (OpenLineage, DataHub, or custom metadata schemas).
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