Senior AI Developer

4 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Jami Partners Full time

Key Responsibilities:

  • Build & Deploy AI Solutions: Implement end-to-end AI systems (LLMs, computer vision, voice transcription, multimodal AI) using Python, PyTorch/TensorFlow, and Docker/Kubernetes.
  • Optimize AI Models: Fine-tune/train LLMs (e.g., GPT-4, Llama 2, RAG pipelines), vision models (CNNs, ViTs), and speech models (Whisper, VITS) for low-latency inference.
  • AI Pipeline Engineering: Design scalable data preprocessing, training, and serving pipelines (e.g., Ray, Kubeflow, Airflow).
  • Edge/Cloud Deployment: Containerize models (Docker) and deploy on K8s, AWS SageMaker, or edge devices.
  • Performance Tuning: Benchmark and optimize models for GPU/TPU acceleration (CUDA, TensorRT).

Required Skills:

  • 5+ years in Python AI development (not just research—production experience required).
  • Hands-on with LLMs (LangChain, Hugging Face), computer vision (OpenCV, YOLO), and voice AI (ASR, TTS).
  • Strong MLOps skills: Docker, CI/CD for AI, model registries (MLflow, Weights & Biases).
  • Experience with distributed training (FSDP, DeepSpeed, Horovod).

Nice-to-Have:

  • NVIDIA Triton Inference Server, ONNX Runtime.
  • Quantization/pruning for model optimization.
  • CUDA-level performance debugging.

Important: Should have transferable Iqama.

Job Type: Full-time

Application Question(s):

  • Please confirm do you have transferable Iqama?


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