NLP Data Scientist

About the role

We are seeking an experienced NLP Data Scientist / LLM Fine-Tuning Specialist to take ownership of our specialized open-source model optimization tracks. The ideal candidate will possess deep expertise in deep learning, dataset preparation, and parameter-efficient training methodologies to fine-tune foundational models for industry-specific terminology, domain-specific reasoning, and custom task execution.

What you'll do

• Lead LLM fine-tuning initiatives , leveraging Parameter-Efficient Fine-Tuning techniques (PEFT) including LoRA, QLoRA, Prefix Tuning
• Curate, clean, and structure high-quality training datasets , implementing automated data deduplication, tokenization schemes, synthetic data generation pipelines
• Implement advanced reinforcement learning alignment layers , configuring Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) to…
• Optimize model footprint constraints and memory overhead , applying post-training quantization techniques (e.g., GGUF, AWQ
• Design rigorous evaluation benchmarks and metrics panels , executing automated validation tests (e.g., BLEU, ROUGE

What you need

• 5–9 yrs of experience
• NLP
• Machine learning
• Python
• Deep learning
• AWS
• PyTorch
• PhD

Good to have

• GCP
• LLMs
• MLOps