Lead the infrastructure, reliability, and deployment strategy for deep learning platforms across cloud and air-gapped environments. Architect scalable model serving and pipeline orchestration while optimizing distributed training frameworks for latency and cost. Requires 10+ years of experience in MLOps with deep expertise in Kubernetes and LLM deployment at scale.
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Job Description
Hiring: Staff / Senior MLOps Engineer
Location: Abu Dhabi, UAE (Full Relocation Provided)
Role Type: Full-time | Senior / Staff Level
About the Company
Our client is a leading artificial intelligence organization building Global AI infrastructure with sovereign backing.
We are looking for a Senior / Staff MLOps Engineer to own the infrastructure, reliability, and deployment strategy for our deep learning platforms across both managed cloud SaaS and air-gapped on-premises environments.
Key Responsibilities
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