Position Details
About this role
This role leads data science work to customize and deploy Large Language Models (LLMs) for business applications. You will partner across research and engineering to build, evaluate, and validate NLP and GenAI solutions, then operationalize them into scalable production systems.
Key Responsibilities
- Partner cross-functionally to deliver AI-powered products
- Leverage PyTorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs
- Be an expert in Natural Language Processing (NLP) for Large Language Models (LLMs)
- Build NLP models across design, training, evaluation, and validation
- Operationalize models into scalable and resilient production systems
Technical Overview
You will build NLP models spanning design, training, evaluation, and validation for Large Language Models (LLMs), with a focus on fine-tuning for business-specific features. The stack includes PyTorch, Hugging Face, AWS Ultraclusters, LangChain, and VectorDBs, with an emphasis on production-grade, scalable, and resilient systems.
Ideal Candidate
The ideal candidate is a senior data science leader who is an expert in Natural Language Processing (NLP) and has hands-on experience with Large Language Models (LLMs) in production. They have fine-tuned LLMs for business-specific applications using open-source tooling and cloud platforms, and they can take models through design, training, evaluation, and validation while partnering with engineering to operationalize them. They also bring strong cross-functional influence and communication to align AI capabilities with business goals.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Hands-on experience working with LLMs, Expert in Natural Language Processing (NLP), Experience adapting and fine-tuning Large Language Models (LLMs) for business-specific applications, At least some experience with open-source tools and cloud computing platforms
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