
Senior AI Data Specialist
1 week ago
We are seeking an experienced professional to join our team as a Senior Data Engineer. In this role, you will be responsible for designing and building large-scale data ingestion and curation pipelines for AI training datasets.
The ideal candidate will have a strong background in data engineering frameworks such as Apache Spark, Ray, or Dask, and experience working with distributed data storage and processing systems such as S3, HDFS, or cloud object storage.
Key Responsibilities- Design and build data pipelines that source, filter, and process diverse data types including text, structured data, code, and multimodal data from raw form to model-ready format.
- Implement robust quality control and validation systems to ensure dataset integrity, relevance, and ethical compliance.
- Architect storage and retrieval systems optimised for distributed training at scale.
- Build tooling to track dataset lineage, reproducibility, and metadata at all stages of the pipeline.
- Collaborate with AI Researchers to align datasets with evolving model architectures and training objectives.
- Experience in Python and data engineering frameworks such as Apache Spark, Ray, or Dask.
- Strong understanding of data quality, validation, and reproducibility in large-scale ML workflows.
- Familiarity with ML frameworks like PyTorch or JAX, and how data pipelines interact with them.
- Comfortable working with multi-terabyte or larger datasets.
- Hands-on and pragmatic, able to solve real data problems with code and automation.
This is a unique opportunity to work on cutting-edge AI projects and contribute to the development of sovereign AI capability in Australia.
As a member of our team, you will have the chance to work closely with AI Researchers and Engineers, design and implement innovative data solutions, and collaborate with other experts in the field.
What We OfferOur company offers a dynamic and supportive work environment, opportunities for career growth and development, and a competitive salary and benefits package.
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