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 Responsibilities

• Collect, 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 Qualifications

• 3+ 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).

Preferred

• Prior work on Arabic or South-Asian language models.
• MLOps exposure (Kubeflow, MLflow).

Engagement: Project-based, 2040 hrs/week, remote.

Job Type: Full-time

Work Location: On the road

Originally posted on Himalayas