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Hiring for AI/ML LEAD -- Delhi Client Must Have AI/ML Expertise: Deep learning architectures (CNN, RNN, Transformers), reinforcement learning, transfer learning, and foundation model fine-tuning Model Development: TensorFlow, PyTorch, Hugging Face, MLflow, advanced hyperparameter tuning, and neural architecture search Model Optimization: Quantization, pruning, knowledge distillation, ONNX, TensorRT, and inference optimization techniques Specialized AI: NLP (BERT, GPT, LLM fine-tuning), Computer Vision (YOLO, ResNet), Time Series (LSTM, Prophet), and Generative AI Good to have Cloud AI Platforms: AWS SageMaker, Azure ML, GCP Vertex AI, distributed training, and cloud-native AI architectures Research & Innovation: Literature review, experimental design, research methodology, and emerging AI technology evaluation .