About the role
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
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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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