Senior AI Developer (LLMs, Computer Vision, Voice AI)

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?