About the company
Openmesh is a full-stack, decentralized data cloud infrastructure built on a global network of bare metal servers. It is the largest open data lake, covering approximately 80% of the entire crypto and web3 ecosystem today. Openmesh enables anyone to create their own decentralized data cloud, connect globally, share data securely, slash deployment costs, and automate data cloud setup. The Openmesh Network is designed to collect, store, process, stream, and provide data connectivity for anyone, anywhere, anytime, without the need for registration, licensing, or payments. Think of Openmesh as the internet's open data fabric. It grants universal access and prevents interferences created by regulators, governments, corporations, and even its own creators. The possibilities are endless.
Job Summary
Responsibilities
šXnode ML Integration: Explore and implement machine learning models within the Xnode ecosystem for advanced data processing and analysis. šInnovative ML Applications: Contribute to the development of innovative machine learning applications that enhance the capabilities of the Xnode data cloud. šPythia ML Integration: Collaborate with Pythia developers to integrate machine learning models into data analytics processes, optimizing insights generation. šData Labeling: Contribute to data labeling processes to improve the quality of training datasets for machine learning models. šPerformance Evaluation: Conduct performance evaluations of machine learning models and iterate on improvements.
Qualifications
šBachelor's or Master's degree in Machine Learning, Computer Science, or a related field. šProficiency in machine learning frameworks (e.g., TensorFlow, PyTorch). šUnderstanding of blockchain and decentralized technologies. šStrong problem-solving and analytical skills. šExcellent programming skills in languages such as Python.
