About the job
Key Responsibilities:
Platform Development: Architect, implement, and uphold a robust and scalable AI platform to effectively integrate, train, and deploy machine learning models.
Infrastructure Optimization: Oversee and enhance cloud infrastructure (e.g., AWS, GCP, Azure) to meet high-performance AI workload requirements while ensuring cost efficiency.
Cross-Functional Integration: Work collaboratively with various teams to merge AI capabilities with blockchain systems, prioritizing data security and compliance with decentralization principles. Contribute to decentralized app (DApp) and smart contract development as necessary.
Security & Documentation: Establish and enforce stringent data security and privacy protocols for the platform. Develop and sustain comprehensive technical documentation to facilitate knowledge sharing and support future scalability.
Innovation: Keep abreast of the latest advancements in AI, blockchain, and cloud technologies to promote ongoing innovation.
Required Qualifications:
Bachelor's degree or higher in Computer Science or a related discipline.
Demonstrated experience in developing and deploying large-scale AI/ML platforms.
Strong expertise in Python and familiarity with AI/ML frameworks such as TensorFlow and PyTorch.
Practical experience with leading cloud platforms (AWS, GCP, or Azure).
Comprehensive understanding of distributed systems and cloud-native technologies.
Exceptional problem-solving abilities along with strong attention to detail and communication skills.
Preferred Qualifications (Bonus Points):
Knowledge of blockchain technology and smart contract development (e.g., Solidity).
Experience with blockchain security best practices.
Familiarity with DevOps tools and CI/CD pipelines.
A record of contributions to open-source projects.
What We Offer:
Purpose: Be part of an initiative aimed at making AI a public good.
Growth: A self-directed environment where you can take initiative to shape your role and career.
Compensation: Competitive remuneration package.
