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Junior Machine Learning Engineer
23 days ago | 194 views | Be the first one to apply

Junior Machine Learning Engineer


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


📍Xnode ML Integration: Explore and implement machine learning models within the Xnode ecosystem for advanced data processing and analysis. 📍Innovative ML Applications: Contribute to the development of innovative machine learning applications that enhance the capabilities of the Xnode data cloud. 📍Pythia ML Integration: Collaborate with Pythia developers to integrate machine learning models into data analytics processes, optimizing insights generation. 📍Data Labeling: Contribute to data labeling processes to improve the quality of training datasets for machine learning models. 📍Performance Evaluation: Conduct performance evaluations of machine learning models and iterate on improvements.


📍Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field. 📍Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch). 📍Understanding of blockchain and decentralized technologies. 📍Strong problem-solving and analytical skills. 📍Excellent programming skills in languages such as Python.

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