AWS Trainium / AI Infrastructure Engineer

Role name: AWS Trainium / AI Infrastructure Engineer Work Location: USA Remote) Start date: Immediate availability. Background check MANDATORY Job Summary: We are looking for an experienced AI Infrastructure Engineer with expertise in AWS cloud, large-scale AI/ML platforms, and distributed model training. The candidate should have hands-on experience with AWS Trainium/Inferentia, AWS Neuron SDK, SageMaker, EKS/Kubernetes, and scalable AI infrastructure. AWS positions Trainium as a purpose-built accelerator for AI training and inference at scale. Key Skills: 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 in AI performance optimization, benchmarking, and migration from GPU-based environments to AWS AI accelerators. Experience: 5+ years in Cloud, Data, or AI Infrastructure. Experience supporting large-scale AI/ML training workloads in AWS environments. Exposure to Trainium or Inferentia is highly preferred.