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About the role
MS / PhD preferred . Strong experience with multimodal post-training workflows including supervised fine-tuning,knowledge distillation,and reinforcement learning from feedback . Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks Experience adapting models for resource-constrained environments
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