Senior AI/GPU Infrastructure Expert
3 weeks ago
Job Description:
We are seeking an experienced professional to design and optimize GPU-based infrastructure for machine learning and artificial intelligence applications at Jio.
Key Responsibilities:
- Develop and implement architectures for AI and GPU infrastructure, ensuring scalability, reliability, and performance.
- Optimize GPU resource allocation and management to enhance performance for AI workloads.
- Collaborate with data scientists, software engineers, and IT teams to understand requirements and translate them into architectural solutions.
- Set up monitoring and benchmarking tools to assess system performance and make recommendations for improvement.
- Stay updated with the latest advancements in AI and GPU technologies and assess their applicability to our infrastructure.
- Create and maintain architectural documentation, including design specifications, best practices, and deployment guides.
- Ensure that infrastructure designs meet security standards and compliance requirements.
- Provide guidance and training to teams on infrastructure usage and best practices.
Requirements:
- 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.
- Knowledge of security best practices related to AI and infrastructure management.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Strong communication skills, both verbal and written.
- Bachelors in Engineers / MCA
- Certification in relevant technologies (e.g., Azure Certified Solutions Architect, NVIDIA certifications, Certified Kubernetes Administrator).
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