Junior Data Scientist

2 months ago

Sydney, New South Wales, Australia Openmesh Full time
About Openmesh

Openmesh is a pioneering company that aims to democratize data and address information asymmetry at a global scale. Our vision is to create an open data fabric that grants universal access and prevents interferences created by regulators, governments, corporations, and even our own creators.

Our Products

We offer a range of innovative products, including Xnode, a revolutionary platform for developers to build decentralized data clouds. Xnode enables developers to build their own decentralized data clouds with data connectivity, data APIs, and query & analytics engines in mere minutes, instead of weeks or months.

Key Responsibilities
  • Integrate machine learning models into the Xnode ecosystem for advanced data processing and analysis.
  • Contribute to the development of innovative machine learning applications that enhance the capabilities of the Xnode data cloud.
  • Collaborate with Pythia developers to integrate machine learning models into data analytics processes, optimizing insights generation.
  • Contribute to data labeling processes to improve the quality of training datasets for machine learning models.
  • Conduct performance evaluations of machine learning models and iterate on improvements.
Requirements
  • Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field.
  • Proficiency in machine learning frameworks (e.g., Tensor Flow, Py Torch).
  • Understanding of blockchain and decentralized technologies.
  • Strong problem-solving and analytical skills.
  • Excellent programming skills in languages such as Python.
Why Join Us

As a Junior Machine Learning Engineer at Openmesh, you will have the opportunity to lead a revolutionary product that is reshaping the landscape of data management and accessibility. You will collaborate with a global community of innovators and thought leaders in the decentralized space, making a significant impact on how data is accessed and utilized worldwide, promoting transparency, efficiency, and democratization.

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