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Machine Learning Engineer
2 months ago
Openmesh is a pioneering open-source cloud infrastructure and global open data network that empowers individuals and organizations to store and share data without intermediaries. Our mission is to democratize data access and address information asymmetry at scale.
Our VisionWe envision a world where data is accessible, transparent, and free from centralized control. Our technology stack is open-source, governed by a community-driven approach, ensuring that no single entity can alter data, distribution, or access.
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 Xnode's capabilities.
- Collaborate with Pythia developers to integrate machine learning into data analytics processes.
- Participate in data labeling processes to improve training datasets for machine learning models.
- Evaluate machine learning model performance 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.
At Openmesh, you'll have the opportunity to lead groundbreaking innovations in data, cloud, blockchain, AI, and Web3 infrastructure. Collaborate with a global community of innovators and thought leaders, making a significant impact on data accessibility and democratization. Enjoy a dynamic, challenging, and rewarding work environment with competitive compensation and benefits.