Large Language Model Architect

Large Language Model Architect

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : SAS Analytics
Good to have skills : Large Language Models (LLMs)
Minimum 3 year(s) of experience is required
Educational Qualification : The ideal candidate will possess a strong educational background in computer science or a related field along with a proven record of delivering impactful solutions using SAS Software Administration

Summary:
As a Large Language Model Architect, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language. Your typical day will involve collaborating with cross-functional teams to define project requirements, conducting research to enhance model performance, and iterating on designs based on feedback and testing results. You will also be responsible for analyzing data and refining algorithms to ensure the models meet the desired specifications and performance metrics, ultimately contributing to the advancement of natural language processing technologies.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with data scientists and engineers to integrate models into applications.
- Conduct experiments to evaluate model performance and iterate on designs based on findings.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in SAS Analytics.
- Good To Have Skills: Experience with Large Language Models (LLMs).
- Strong understanding of neural network architectures and their applications.
- Experience in processing and analyzing large datasets for model training.
- Familiarity with natural language processing techniques and tools.

Additional Information:
- The candidate should have minimum 3 years of experience in SAS Analytics.
- This position is based at our Bengaluru office.
- The ideal candidate will possess a strong educational background in computer science or a related field along with a proven record of delivering impactful solutions using SAS Software Administration.