AI Platform Engineer
Quick Summary
Platform Development: Design, develop, and maintain a scalable AI platform for integrating, training, and deploying ML models. Infrastructure Optimization: Manage and optimize cloud infrastructure (e.
Collaborate across teams to integrate AI capabilities with blockchain systems, ensuring data security and adherence to decentralization principles.
Responsibilities
~1 min read- →
Requirements
~1 min readBachelor's degree or higher in Computer Science or a related field.
Proven experience in building and deploying large-scale AI/ML platforms.
Strong proficiency in Python and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
Hands-on experience with major cloud platforms (AWS, GCP, or Azure).
Solid understanding of distributed systems and cloud-native technologies.
Excellent problem-solving, attention to detail, and communication skills.
Fluent in Mandarin is a must.
Familiarity with blockchain technology and smart contract development (e.g., Solidity).
Practical experience with blockchain security best practices.
Proficiency in DevOps tools and CI/CD pipelines.
A history of contributing to open-source projects.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- September 11, 2026
- First seen
- September 11, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 24
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- October 6, 2026
Signal breakdown
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