NLP Data Scientist
FyerX (company site, opens in a new tab)5–8 yrsRemoteDirect career pageEst. 15–30 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and lead LLM fine-tuning projects using PEFT techniques like LoRA, QLoRA, Prefix Tuning, and Prompt Tuning for open-source models (e.g., Llama, Mistral).
- Curate, clean, and prepare high-quality datasets with robust automation and human-in-the-loop validation for training.
- Design and execute advanced model evaluation benchmarks and manage distributed deep learning training jobs across multi-GPU environments.
Minimum Requirements
- 4 to 8 years of core data science or advanced machine learning engineering experience with at least 3 years dedicated to NLP system training and fine-tuning.
- Expert-level proficiency in Python, PyTorch, transformer architectures (Hugging Face, Accelerate, PEFT), and understanding of attention mechanisms and CUDA limitations.
- Mandatory certification as Google Cloud Certified Professional Machine Learning Engineer or AWS Certified Machine Learning Specialty.
- Work Mode: Fully Remote (Offshore); Employment Type: Contract.
Ideal Candidate Profile
- Experienced practitioner in parameter-efficient LLM fine-tuning for domain-specific and industry-specific adaptations.
- Strong technical command over distributed training, memory optimization (quantization), and model safety via reinforcement learning alignment.
- Advanced academic background preferred (Master’s or Ph.D.) focused on neural network text models or related fields.