Description

Key Responsibilities: 
Design, deploy, and support AI/ML infrastructure within AWS environments. 
Build and maintain scalable platforms for large-scale model training and inference workloads.
Support distributed training environments for LLMs and Generative AI workloads.
Implement and manage cloud-native infrastructure using Kubernetes, EKS, and containerized technologies. 
Utilize AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK to support AI workloads. 
Optimize AI platform performance through benchmarking, tuning, and infrastructure improvements. 
Support migration and optimization efforts involving AWS AI accelerator technologies. 
Collaborate with engineering teams to deliver scalable and reliable AI infrastructure solutions. 

Required Qualifications: 
7+ years of experience in Cloud, Data, or AI Infrastructure. ·nbsp; Experience supporting large-scale AI/ML training workloads within AWS environments.
Experience with AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK for AI model training and inference.
Strong understanding of LLMs, Generative AI, distributed training, and AI/ML infrastructure.
Hands-on experience with Kubernetes (EKS), Docker, Python, PyTorch, and cloud-native architectures.
Experience with AI performance optimization, benchmarking, and infrastructure scalability. 
Exposure to AWS Trainium or Inferentia environments.
Experience optimizing or migrating AI workloads to AWS AI accelerator platforms.
Experience supporting large-scale distributed AI training environments

Key Skills

Education

Bachelor's degree