AI Dataset Constructor

7 days ago


Melbourne, Victoria, Australia beBeeDataEngineering Full time $150,000 - $180,000
Job Description

The role of a Senior Data Engineer involves leading the design and construction of large-scale datasets for AI training. This encompasses sourcing, cleaning, transforming, and structuring massive amounts of raw data into training-ready form.

Key Responsibilities
  • Developing large-scale data ingestion and curation pipelines for AI training datasets
  • Filtering and processing diverse data types, including text, structured data, code, and multimodal data, from raw form to model-ready format
  • Implementing robust quality control and validation systems to ensure dataset integrity, relevance, and ethical compliance
  • Architecting storage and retrieval systems optimized for distributed training at scale
  • Building tooling to track dataset lineage, reproducibility, and metadata at all stages of the pipeline
About You
  • Passion for building world-class datasets for AI training from raw source to training-ready
  • Experience in Python and data engineering frameworks such as Apache Spark, Ray, or Dask
  • Skilled in working with distributed data storage and processing systems
  • Strong understanding of data quality, validation, and reproducibility in large-scale ML workflows


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