AI Platform Engineer
Key Responsibilities:
- 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.g., AWS, GCP, Azure) to balance high-performance AI workload requirements with cost-effectiveness.
- Cross-Functional Integration: Collaborate across teams to integrate AI capabilities with blockchain systems, ensuring data security and adherence to decentralization principles. Contribute to DApp and smart contract development as needed.
- Security & Documentation: Implement robust data security and privacy measures for the platform. Create and maintain comprehensive technical documentation to foster knowledge sharing and support platform scalability.
- Innovation: Stay current with emerging trends in AI, blockchain, and cloud technologies to drive continuous innovation.
Required Qualifications:
- Bachelor'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.
Preferred Qualifications (Bonus Points):
- 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
- Purpose: The opportunity to contribute to making AI a public good
- Growth: A self-directed environment where you can take initiative to shape your role and career
- Compensation: Market-competitive compensa...