Decentralized AI and GPU Sharing Platform Development
Budget: $25 – $50 USD
Project Description:
We are seeking a highly experienced individual to lead the development and deployment of a decentralized AI and GPU-sharing platform. This long-term project requires a candidate with extensive expertise in AI, blockchain technology, and systems infrastructure to drive the implementation and scalability of the platform. More than 5 years of experience.
Responsibilities:
Design and develop a Layer 1 blockchain infrastructure optimized for task distribution in decentralized environments.
Implement and maintain AI services using frameworks such as TensorFlow, PyTorch, Caffe2, and MXNet.
Develop blockchain components, focusing on smart contracts and decentralized applications (DApps) integration.
Manage cloud-based and on-premise GPU nodes, including deployment, scaling, and monitoring.
Ensure system reliability and scalability through effective DevOps practices, including CI/CD pipelines, containerization, and orchestration.
Optimize GPU computing resources and implement monitoring systems to track performance and system health.
Collaborate with product teams to define and refine system architecture, ensuring seamless integration across AI and blockchain components.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
Strong proficiency in machine learning, deep learning frameworks, and blockchain technologies.
Extensive experience with server management and cloud platforms (AWS, Azure, Google Cloud).
Proficiency in containerization and orchestration tools (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible).
Excellent coding skills in Python, C++, Solidity, or other relevant programming languages.
Demonstrated capability in managing full lifecycle software development and system deployment.
Excellent analytical, problem-solving skills, and the ability to work collaboratively in a fast-paced environment.
Desired Skills:
Certifications in cloud architecture, Kubernetes, or blockchain technologies are a plus.
Strong communication skills and the capacity to lead projects or small teams.
We are seeking a highly experienced individual to lead the development and deployment of a decentralized AI and GPU-sharing platform. This long-term project requires a candidate with extensive expertise in AI, blockchain technology, and systems infrastructure to drive the implementation and scalability of the platform. More than 5 years of experience.
Responsibilities:
Design and develop a Layer 1 blockchain infrastructure optimized for task distribution in decentralized environments.
Implement and maintain AI services using frameworks such as TensorFlow, PyTorch, Caffe2, and MXNet.
Develop blockchain components, focusing on smart contracts and decentralized applications (DApps) integration.
Manage cloud-based and on-premise GPU nodes, including deployment, scaling, and monitoring.
Ensure system reliability and scalability through effective DevOps practices, including CI/CD pipelines, containerization, and orchestration.
Optimize GPU computing resources and implement monitoring systems to track performance and system health.
Collaborate with product teams to define and refine system architecture, ensuring seamless integration across AI and blockchain components.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
Strong proficiency in machine learning, deep learning frameworks, and blockchain technologies.
Extensive experience with server management and cloud platforms (AWS, Azure, Google Cloud).
Proficiency in containerization and orchestration tools (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible).
Excellent coding skills in Python, C++, Solidity, or other relevant programming languages.
Demonstrated capability in managing full lifecycle software development and system deployment.
Excellent analytical, problem-solving skills, and the ability to work collaboratively in a fast-paced environment.
Desired Skills:
Certifications in cloud architecture, Kubernetes, or blockchain technologies are a plus.
Strong communication skills and the capacity to lead projects or small teams.