About ZenteiQ ZenteiQ is a deep-tech company born out of IISc Bangalore, building Scientific Intelligence Infrastructure: physics-native AI for engineering, manufacturing, energy, mobility and national systems. Rather than wrapping general-purpose language models, we train foundation models (BrahmAI) from scratch to reason over thermal, electromagnetic, structural and materials domains, and put them to work through industrial platforms (KogneX) and a talent OS for engineers and researchers (AhamX). We're backed by the IndiaAI Mission (MeitY) and work closely with IISc, ARTPARK and a national AI Hub Network — building the sovereign AI infrastructure that India's engineering and industrial systems will run on. About the Role At ZenteiQ we're building the data foundation that powers next-generation Large Language Models. As a Data Engineer on the corpus team, you'll build scalable pipelines to source, process, curate, filter and prepare large-scale corpora for training and evaluating foundation models. You'll work closely with AI Researchers, ML Engineers and Platform Engineers to solve challenging data problems across web-scale datasets, unstructured data, multilingual corpora and benchmark datasets. What You'll Do • Source and ingest large-scale datasets from Common Crawl, public web sources, open-source repositories and other data sources. • Build scalable data processing pipelines for large unstructured corpora. • Develop and optimise distributed data pipelines using tools such as Apache Spark, Ray and Dask. • Extract and process content from web pages and documents using Trafilatura and related web/content extraction libraries. • Design data cleaning, filtering, quality assessment and curation pipelines for LLM pretraining corpora. • Develop heuristic-based filters to remove low-quality, boilerplate, spam, duplicated or otherwise unsuitable content. • Implement document-level and corpus-level deduplication strategies. • Identify and mitigate benchmark contamination and evaluation-data leakage in training corpora. • Prepare and curate benchmark and evaluation datasets. • Work with large-scale datasets stored and processed through GCS/GCP. • Monitor data quality, pipeline performance, storage and processing efficiency. • Collaborate with AI Researchers and ML Engineers to continuously improve corpus quality and training-data pipelines. What We're Looking For Must Have • 2–5+ years of experience in Data Engineering, AI Data Engineering, ML Data Engineering or a related field. • Strong Python programming skills. • Experience working with large-scale unstructured datasets. • Experience building data processing / ETL pipelines. • Strong understanding of data cleaning, filtering, validation and deduplication. • Hands-on experience with exact and near-duplicate detection and deduplication. • Familiarity with at least one distributed processing framework: Apache Spark, Ray or Dask. • Understanding of web-scale data ingestion, such as Common Crawl or other large public datasets. • Experience with HTML parsing and web/document extraction libraries such as Trafilatura, BeautifulSoup, lxml or Resiliparse. • Familiarity with GCS/GCP and cloud-based data processing. • Experience working with large-scale formats such as JSONL, Parquet or Arrow. • Strong problem-solving and ownership mindset. Good to Have • Experience with LLMs, Foundation Models or Generative AI. • Experience building or maintaining LLM pretraining corpora. • Familiarity with Hugging Face Datasets, DataTrove or NVIDIA NeMo Curator. • Experience with WARC/WET/WAT and large-scale Common Crawl processing. • Knowledge of MinHash, fuzzy or semantic deduplication. • Research-level understanding of synthetic data generation techniques for model training and evaluation. • Familiarity with Rust for high-performance data processing. • Experience with multilingual or domain-specific corpora. Why ZenteiQ • Build real physics-native foundation models from scratch, not another LLM wrapper — deep, defensible technical work. • Be part of a nationally recognised mission: one of 8 startups selected under the government's IndiaAI Mission to build a sovereign foundation model. • Work alongside IISc-trained scientists and researchers, in a company founded by an IISc professor. • See your work land in real industry pilots across automotive, mobility, defence and industrial R&D, with measurable impact. • Join a lean, high-calibre team at an early, high-ownership stage.