Description

You will architect end-to-end AI infrastructure across cloud and on-prem environments.

Responsibilities

• Drive performance, scalability, and cost optimization for AI infrastructure.
• Ensure compliance, security, and ethical AI principles are met.
• Build efficient AI/ML data pipelines.
• Provide technical leadership and mentorship.

Required Skills

• 15+ years of experience in relevant technical roles.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch).
• Hands-on experience with Docker and Kubernetes.
• Proficiency in Python.
• Experience with infrastructure as code using Terraform and CloudFormation.
• Deep knowledge of cloud-native architecture (IaaS, PaaS, SaaS).
• Strong understanding of LLMs, MLOps, and DevOps best practices.
• Experience with NVIDIA GPU systems.

Key Skills

Education

Any Graduate