0G Labs

AI Platform Engineer

Remote
Python TensorFlow PyTorch AWS GCP Azure Docker Kubernetes Solidity API
Description

AI Platform Engineer

Department: Engineering

Location: Remote

Employment Type: FullTime

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.

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 compensation including, for most roles, exposure to pre-launch tokens

In addition, 0G Labs is committed to the health and well being of all of our team members. To that end, we provide reimbursements towards a holistic set of experiences and courses:

  • Core self: Transcendental Meditation

  • Mind: Landmark Education

  • Emotion: Art of Communication

  • Presence: Speech Coach

  • Body: Fitness, gym and exercise memberships/classes

0G Labs
0G Labs

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