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    I am developing a conversational home-assistant that can • control lights, switches, thermostats, climate systems, security cameras and other Home Assistant-compatible devices, • deliver real-time weather and news briefings, and • manage household schedules and reminders. To reach that goal I need an AI/ML engineer who has hands-on experience fine-tuning Large Language Models such as Gemma, Llama-2/3, Qwen or Mistral. You should be comfortable running LoRA or QLoRA pipelines on Hugging Face Transformers and PyTorch, preparing conversational JSONL datasets, and iterating quickly on prompt- and instruction-tuning strategies. Beyond raw fine-tuning, the model must: • handle tool / function calling so it can trigger Home Assistant APIs, • return structu...

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