LLM Model Developer

Project Role : LLM Model Developer
Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a LLM Model Developer, you will engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in specific contexts, ensuring that the models meet the diverse needs of users and applications. You will analyze model outputs, iterate on training processes, and implement strategies to optimize performance, all while maintaining a keen awareness of the latest advancements in the field of artificial intelligence and machine learning.
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 growth and development.
Continuously evaluate and implement best practices in model development and fine-tuning.
Professional & Technical Skills:
Must To Have Skills: Proficiency in Large Language Models.
Strong understanding of natural language processing techniques.
Experience with model evaluation metrics and performance tuning.
Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch.
Ability to work with large datasets and implement data preprocessing techniques.
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.

Work arrangement
No