Company Overview

Jio, headquartered in Navi Mumbai, is India's leading telecom operator with over 400 million customers. We develop digital apps and services for B2C and B2B solutions. Our offerings include a complete 5G solution, AI/ML platforms, and cloud-native OSS Platforms. With our end-to-end cloud-native product line, we empower cutting-edge digital transformation. Visit our website at Jio Platforms for more information.

Job Overview

Jio is seeking a Senior AI Infra Architect located in Mumbai for a full-time position. The role involves designing and implementing AI infrastructure solutions leveraging cutting-edge technologies. The candidate will work in a dynamic team to drive innovation and performance within our telecom infrastructure.

Qualifications and Skills

• Proven experience as an infrastructure architect in the field of Data Centre Infrastructure (DC Rack Planning, Compute, Storage, Network) , specifically with AI and GPU technologies.
• Strong understanding of GPU architecture and parallel processing concepts.
• Experience of designing high performance storage solutions for AI kind of workloads with innovative solutions.
• Knowledge of designing high performance network solutions for AI Workloads using technologies like InfiniBand, ROCE, GPU Direct etc..
• Experience with distributed computing and microservices architecture
• Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and ML libraries.
• Experience with system performance tuning and optimization techniques.

Roles and Responsibilities

• Architecture Design: Develop and implement architecture for AI and GPU infrastructure, ensuring scalability, reliability, and performance.
• Infrastructure Optimization: Optimize GPU resource allocation and management to enhance performance for AI workloads.
• Collaboration: Work closely with data scientists, software engineers, and IT teams to understand requirements and translate them into architectural solutions.
• Performance Monitoring: Set up monitoring and benchmarking tools to assess system performance and make recommendations for improvement.
• Research and Development: Stay updated with the latest advancements in AI and GPU technologies and assess their applicability to our infrastructure.
• Documentation: Create and maintain architectural documentation, including design specifications, best practices, and deployment guides.
• Security and Compliance: Ensure that infrastructure designs meet security standards and compliance requirements.
• Training and Support: Provide guidance and training to teams on infrastructure usage and best practices.