AI Platform Engineer

Description: Design, develop, and maintain a scalable AI platform for ML model integration, training, and deployment. Manage and optimize cloud infrastructure (AWS, GCP, Azure) for high-performance AI workloads. Collaborate across teams to integrate AI with blockchain systems, ensuring data security and decentralization. Implement data security measures and maintain technical documentation for platform scalability. Stay updated on trends in AI, blockchain, and cloud technologies for continuous innovation. Requirements: Bachelor's degree or higher in Computer Science or 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, 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. Benefits: Opportunity to contribute to making AI a public good. Self-directed environment for personal and career growth. Market-competitive compensation with exposure to pre-launch tokens. Reimbursements for holistic experiences and courses (e.g., Transcendental Meditation, Landmark Education, fitness memberships).