Staff MLOPs engineer
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 - Architect 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 Bring - 10+ 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 Offer - Complete 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!