Principal ML & Data Platform Engineer β€” Real-Time in Sydney

Principal ML & Data Platform Engineer β€” Real-Time in Sydney

Sydney Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the development of data and AI platforms, focusing on real-time decisioning.
  • Company: Join Preacta, a top financial services organisation in Australia.
  • Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in financial services.
  • Why this job: Shape the future of finance with cutting-edge ML technology and impactful decision-making.
  • Qualifications: Proven experience in ML engineering and strong leadership skills.

The predicted salary is between 63000 - 77000 $ per year.

Preacta, a leading financial services organisation in Australia, is seeking a senior ML/engineering leader to direct data and AI platform development.

You will set technical direction for data usage, with ML and decisioning as priorities.

You will design real-time and batch decisioning from customer signals, build the MLOps environment, and empower business teams with self-serve data pipelines and contracts.

Principal ML & Data Platform Engineer β€” Real-Time in Sydney employer: Preacta

Preacta is an exceptional employer located in the vibrant city of Sydney, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a supportive environment that prioritises professional growth through continuous learning opportunities and hands-on experience with cutting-edge technologies in AI. With a focus on Agile methodologies, Preacta encourages ownership and creativity, making it an ideal place for those looking to make a meaningful impact in the tech industry.

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Contact Details:

Preacta Recruitment Team

We think you need these skills to ace Principal ML & Data Platform Engineer β€” Real-Time in Sydney

Machine Learning
Data Engineering
Real-Time Data Processing
MLOps
Technical Leadership
Decisioning Systems Design
Data Pipeline Development