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AWS Trainium / AI Infrastructure Engineer

Talent Technical Services, Inc
  • ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel
  • On-site
  • Mid level
  • 1 day ago
  • $55 โ€“ $58 / hour
  • AWS
  • AI
  • AWS Cloud
  • AI/ML
  • EKS
  • Kubernetes
  • EC2
  • Machine Learning
  • Docker
  • Python
  • PyTorch
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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.

AWS Trainium / AI Infrastructure Engineer ยท Talent Technical Services, Inc

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