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), Python Frameworks, Agentic Workflow, Lang Graph

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, 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 work includes continuous refinement of model architectures to enhance their ability to process natural language, collaborating with various teams to align model capabilities with project goals, and overseeing the integration of these models into broader applications. The position demands a thoughtful approach to innovation and problem-solving within the evolving field of language 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 ensure seamless integration of language models into products and services.
Continuously monitor and evaluate model performance, implementing improvements to maintain high standards of accuracy and efficiency.
Document architectural decisions and model development processes to support knowledge sharing and future enhancements.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Large Language Models (LLMs), Python Frameworks.
Strong understanding of neural network architectures and their application in natural language processing.
Experience with handling and processing large-scale unlabeled text datasets.
Ability to optimize model parameters for improved performance and scalability.
Familiarity with state-of-the-art techniques in language model training and fine-tuning.
Skill in troubleshooting and resolving complex issues related to model development and deployment.

Additional Information:

The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
This position is based at our Bengaluru office.
A 15 years full time education is required.
Must have Skills : Agentic Workflow, Lang Graph