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DS

US_East | Platform Engineer - DevOps Specialist _L2

Datum Software, Inc
  • 🇮🇱 Israel
  • On-site
  • Mid level
  • 2 days ago
  • AWS
  • AI
  • AWS Cloud
  • AI/ML
  • EKS
  • Kubernetes
  • EC2
  • Large Language Models
  • Machine Learning
  • Docker
  • Python
  • PyTorch
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Role Name: AWS Trainium / AI Infrastructure Engineer
Work Location: USA – Remote



Job Description
We are seeking an experienced AI Infrastructure Engineer with strong expertise in AWS Cloud, large-scale AI/ML platforms, and distributed model training.
The ideal candidate will have hands-on experience with AWS Trainium/Inferentia, AWS Neuron SDK, Amazon SageMaker, EKS/Kubernetes, and scalable AI infrastructure. AWS Trainium is a purpose-built accelerator designed to support AI model training and inference at scale.
Key Skills:
  • Hands-on experience with AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK for AI model training and inference.
  • Strong understanding of Large Language Models (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.
  • Experience migrating workloads from GPU-based environments to AWS AI accelerators.
  • Strong knowledge of large-scale distributed AI/ML training environments.
Experience Requirements
  • 5+ years of experience in Cloud, Data, AI Infrastructure, or related areas.
  • Experience supporting large-scale AI/ML training workloads in AWS environments.
  • Exposure to AWS Trainium or Inferentia is highly preferred.

 
“All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”
 
 

US_East | Platform Engineer - DevOps Specialist _L2 · Datum Software, Inc

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