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Machine Learning Engineer

Peoplebank Australia QLD
Brisbane, QLD
A$1,100 p/d
Information & Communication Technology → Other
Contract
Hybrid

Posted 4 days ago


Role : Machine Learning Engineer
Brisbane CBD based
6 months + possible extension
2 days WFH
Daily rate up to $1100/day
** Open to Brisbane based candidates only

About the Role

Seeking an AI/ML Engineer and help build cutting-edge machine learning models in domains like utilities, asset management, and sustainability.

You'll lead end-to-end model development, including data collection, preprocessing, augmentation, and synthetic data generation.
With a focus on performance evaluation and error analysis, you'll fine-tune models for real-world impact.
Experience with Azure AI Services and a passion for staying ahead of AI/ML trends is essential.

Required Skill :

  • Proven experience as a Machine Learning Engineer, Data Scientist, or MLOps Engineer.
  • Proficiency in Python, including experience with ML libraries like scikit-learn, XGBoost, or PyTorch.
  • Experience deploying ML models to production using Azure Machine Learning, Azure Functions, and Azure DevOps.
  • Familiarity with MLOps practices in a Microsoft environment.
  • Experience with time-series data and forecasting.

Discover our exclusive contractor benefits

  • Peoplebank offers a suite of benefits for our direct contractors. Save with car leasing through Autopia and utilise salary packaging for superannuation and approved items.
  • Benefit from TELUS Health's Employee Assistance Program for emotional support.
  • Seamlessly transition between contracts with our Next Job Program.
  • Multiple pay runs a week
  • Genuine contractor care - regular touch points with a dedicated account manage

For additional information please call Tim Smith on 0481787115 or Moitri Banerjee on 07 3291 5408


About Peoplebank Australia QLD

Rockhampton, QLD, Australia

This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.

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