AI Infrastructure Architect

Job description

• Linux systems, networking, and Kubernetes infrastructure
• Bare-metal, GPU/TPU automation
• Date Centre design
• Ansible
• Python

Architect the Future Lead the endtoend design and development of our AI infrastructure encompassing hardware software networking and multicloud environments

Innovate and Evaluate Assess select and implement the bestinclass technologies tools and frameworks eg TensorFlow PyTorch Kubernetes Docker to build and maintain our AI platforms

Optimize for Performance Engineer and implement infrastructure that scales seamlessly with our evolving AIML needs continuously monitoring and optimizing for both performance and costefficiency

Champion Security and Compliance Define and enforce infrastructure standards and best practices ensuring unwavering compliance with security policies data protection regulations and ethical AI principles

Build DataDriven Pipelines Collaborate on the architecture and implementation of highly efficient data pipelines for our AI models from ingestion and storage to processing and management

Lead and Inspire Provide technical leadership and mentorship to crossfunctional teams fostering a culture of excellence and best practices in AI infrastructure

Solve Complex Challenges Diagnose and resolve intricate infrastructure issues ensuring the high availability and reliability of all our AI systems

Stay Ahead of the Curve Keep your finger on the pulse of the latest advancements in AI machine learning and cloud computing driving innovation within the organization

Document for Success Create and maintain comprehensive documentation for all AI infrastructure designs implementations and operational procedures

Job Types: Full-time, Permanent

Pay: ₹923,574.04 - ₹5,059,297.78 per year

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person