Job Description
Full details about the role and requirements
Yukerja Summary
The LLM Fine-Tuning Engineer role at Vurke Inc is curated from Himalayas (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.
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