Take open and frontier models past their defaults - fine-tuning, distillation and alignment for domain-specific intelligence.
WHAT YOULL DO
- Fine-tune and adapt LLMs and speech/vision models (LoRA/QLoRA, SFT, DPO/RLHF) for client domains.
- Build data pipelines: curation, labelling workflows, synthetic data generation and quality gates.
- Distil large models into rapid, deployable ones without losing the behaviour that matters.
- Own training infrastructure - GPUs, experiment tracking, reproducibility.
- Benchmark rigorously against real business metrics, not leaderboard scores.
WHAT WE LOOK FOR
- Solid ML fundamentals plus PyTorch experience; you have actually trained models, not just called APIs.
- Comfort with distributed training and inference optimisation (quantisation, batching).
- Scientific honesty - you report what the eval says, not what the demo shows.
📌 AI Model Fine-Tuning Engineer (Maharashtra)
🏢 Createid8
📍 Maharashtra
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