Lead AI Platform
Cairo, Cairo Governorate, Egypt
USD 184K-339K (estimate) Senior-level Full Time
Tasks
- Analyze and resolve performance bottlenecks using profiling tools
- Conduct applied research to improve model efficiency
- Convert and optimize models across frameworks
- Design and implement inference and training pipelines
- Design scalable distributed training and inference architectures
- Improve GPU utilization and scheduling efficiency
- Mentor team members on AI infrastructure optimization and GPU systems
- Optimize model performance across GPU environments
- Perform root cause analysis for ML system issues
- Support production deployments with monitoring rollback and performance validation
- Track experiments and log parameters metrics and artifacts
- Translate AI ML workloads into optimized infrastructure and deployment strategies
Perks/Benefits
- Career advancing opportunities
- Employment referral program
- English language development courses
- Interest-free loans
- Location premium
- Medical insurance
- Planned overtime program
- Social insurance
- Technical development courses
Skills/Tech-stack
Batching | CUDA | CUDNN | Cause analysis | Concept drift | Distributed Systems | GPU Utilization | GPU scheduling | Inference Pipelines | Inference Server | Infiniband | Kubernetes | MLflow | Model Optimization | Multi-GPU | Multi-node | NCCL | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | NVLink | Neptune | Nsight | ONNX | ONNX Runtime | Profiling | Pruning | PyTorch | Python | Quantization | Root Cause Analysis | Root cause | Slurm | TensorRT | TensorRT Profiler | TensorRT-LLM | Training pipelines | Triton Inference Server | Weights and Biases
Education
N/A
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