Large Language Model Architect - SAS Platform Administration

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 : NA
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, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires careful planning of neural network configurations and managing extensive datasets to ensure the models perform effectively. The position demands continuous refinement of model architectures to enhance their ability to interpret and produce natural language, contributing to innovative solutions in 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 cross-functional teams to align model development with project goals and requirements.
- Continuously evaluate and optimize model performance to meet evolving business needs.
- Document architectural decisions and model design processes to support knowledge sharing and future development.
- Support junior team members by providing guidance and sharing expertise to foster professional growth.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in SAS Analytics.
- Experience in designing and implementing neural network architectures for natural language processing tasks.
- Strong understanding of large-scale data handling and preprocessing techniques.
- Ability to analyze and interpret complex datasets to improve model accuracy and efficiency.
- Familiarity with model training workflows and performance evaluation metrics.
- Capability to troubleshoot and resolve technical challenges related to language model development.

Additional Information:
- The candidate should have minimum 3 years of experience in SAS Analytics.
- This position is based at our Pune office.
- A 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 is required.