Job description
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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Architect, you will engage in the innovative process of architecting large language models that are capable of processing and generating natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained effectively on large quantities of unlabeled text data. You will collaborate with various teams to refine the models and enhance their performance, contributing to the advancement of natural language processing technologies.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to foster their professional growth.
- Continuously evaluate and improve model performance based on feedback and new research.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Strong understanding of neural network architectures and their applications.
- Experience with natural language processing techniques and tools.
- Familiarity with data preprocessing and augmentation methods.
- Ability to analyze and interpret model performance metrics.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
This job post has been translated by AI and may contain minor differences or errors.
