Staff MLOPs engineer بدوام كامل في أبوظبي
التخصص
متفرقات
نوع الدوام
دوام كامل
الخبرة
أي مستوى
الموقع
أبوظبي
وصف الوظيفة
Hiring: Staff / Senior MLOps EngineerLocation: Abu Dhabi, UAE (Full Relocation Provided)Role Type: Full-time | Senior / Staff LevelAbout the CompanyOur 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 ResponsibilitiesArchitect scalable model serving (vLLM, Triton, TGI), pipeline orchestration (MLflow, Kubeflow), and multi-cloud delivery (AWS, Azure, GCP). Drive latency, throughput, and cost optimizations using distributed training frameworks (DeepSpeed, FSDP, Megatron-LM). Build resilient ML infrastructure designed for both cloud and secure, disconnected deployments. Set platform SLOs, incident response practices, and GPU cluster scheduling strategies in Kubernetes. Mentor engineers, set engineering standards, and collaborate with research teams on long-term infrastructure roadmaps. What You’ll Bring10+ years in MLOps or ML Infrastructure with end-to-end architectural ownership. Proven track record deploying, fine-tuning, and serving LLMs at scale. Deep Kubernetes expertise (GPU scheduling, operators, multi-tenancy) and multi-cloud fluency. Hands-on experience with on-premises, bare-metal, or air-gapped ML environments. Strong preference for GPU systems depth (CUDA, NCCL, NVLink), quantization (FP8, AWQ), or Slurm cluster management. What's on OfferComplete relocation, visa, and transition support to Abu Dhabi for candidates worldwide.Access to top-tier hardware, proprietary models, and high-stakes AI applications. Highly competitive tax-free salary and comprehensive benefits.Should you fit the bill, please apply with your CV today!
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