Data Curation Engineer
Flam (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and operate scalable data ingestion and cleaning pipelines for text, audio, and video, including deduplication, quality filtering, and synthetic data generation.
- Manage and version evaluation datasets to ensure accurate benchmarking and untainted data provenance, including multimodal data processing.
- Design annotation guidelines, audit annotation quality, and maintain data provenance to enable reproducible and transparent dataset management.
Minimum Requirements
- Strong Python programming skills with experience handling datasets larger than memory, using databases and chunked/parallel processing.
- Practical data engineering skills: streaming, checkpointing, handling malformed inputs, and familiarity with ML data formats (Parquet, WebDataset, HuggingFace Datasets) and object storage (S3/GCS/R2).
- Work Experience Required: Not explicitly mentioned in the JD.
- Genuine concern for data quality and enough ML understanding to appreciate impact of data decisions on model performance.
Ideal Candidate Profile
- Experience curating training data specifically for large language models, speech, or image/video models.
- Familiarity with embeddings and vector search tools (FAISS, Milvus) for semantic deduplication and retrieval.
- Native or near-native fluency in one or more Indian languages, enabling quality judgment of Indic-language data, plus experience with audio/video processing or synthetic data generation is highly valued.