More jobs:
MLOPs engineer
Job in
Abu Dhabi, UAE/Dubai
Listed on 2026-10-02
Listing for:
Discovered MENA
Full Time
position Listed on 2026-10-02
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), SRE/Site Reliability
Job Description & How to Apply Below
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 (Deep Speed, 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.
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