LLM Fine-Tuning Engineer

Role Summary Optimize and fine-tune large language models (GPT-4o, Claude, Llama-3, etc.) for client-specific tasks in English, Arabic, Urdu, and Bengali.Key ResponsibilitiesCollect, clean, and annotate domain data sets.Design fine-tuning and reinforcement-learning-from-human-feedback (RLHF) pipelines.Benchmark model performance, latency, and cost.Package and deploy models via Azure ML or Amazon Bedrock.Must-Have Qualifications3+ years in NLP or ML engineering.Hands-on with Hugging Face Transformers, PEFT/LoRA, RLHF libraries.Strong Python and PyTorch.Experience with GPUs or distributed training (e.g., DeepSpeed).PreferredPrior work on Arabic or South-Asian language models.MLOps exposure (Kubeflow, MLflow).Engagement: Project-based, 2040 hrs/week, remote.Job Type: Full-timeWork Location: On the roadOriginally posted on Himalayas