
AI Data Engineering Leader
1 week ago
Lead Data Architect
We are seeking a highly skilled data engineer to lead the design and construction of large-scale datasets for AI training. The ideal candidate will have experience working with distributed data storage and processing systems, as well as a strong understanding of data quality, validation, and reproducibility in large-scale ML workflows.
As a key member of our team, you will be responsible for sourcing, filtering, and processing diverse data types, from raw form to model-ready format. You will also implement robust quality control and validation systems to ensure dataset integrity, relevance, and ethical compliance.
Our team is passionate about building world-class datasets for AI training from raw source to training-ready. We operate our own GPU clusters, run large-scale training, and integrate research and engineering closely to push the frontier of what is possible.
Required Skills and Qualifications- Proven experience in Python and data engineering frameworks such as Apache Spark, Ray, or Dask
- Strong understanding of distributed data storage and processing systems
- Experience working with multi-terabyte or larger datasets
- Hands-on and pragmatic, with a passion for solving real data problems with code and automation
By joining our team, you will have the opportunity to work on cutting-edge AI projects, collaborate with experienced professionals, and develop your skills in a fast-paced and dynamic environment.
As a valued member of our team, you will receive competitive compensation, opportunities for professional growth and development, and a supportive and collaborative work environment.
Why This Role MattersThis role offers the chance to make a significant impact on the development of sovereign AI capability in Australia. By leading the design and construction of large-scale datasets, you will play a critical role in enabling the creation of advanced AI models that can benefit society as a whole.
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