Position Details
About this role
This role involves designing and deploying NLP and Generative AI models, focusing on LLMs, prompt engineering, and model optimization to support business stakeholders.
Key Responsibilities
- Design NLP solutions including chat assistants and RAG systems
- Develop and fine-tune custom NLP LLM models
- Evaluate NLP models using human and synthetic metrics
- Deploy NLP models ensuring scalability and reliability
- Research new prompt engineering and model optimization techniques
Technical Overview
Environment includes Python, PyTorch, Hugging Face, NLP frameworks, and model evaluation tools, with a focus on scalable, low-latency NLP solutions.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 5+ years of experience in NLP and machine learning, proficient in transformer models, Python, and PyTorch, with a strong research background in Generative AI and LLMs.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience in NLP/ML, Lack of experience with transformer architectures, No proficiency in Python or PyTorch, No experience with Large Language Models
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