LLM Model Developer

Overview

Fine-tune large language models with a focus on instruction fine-tuning and domain adaptation to improve their relevance and performance in specific contexts. Act as a subject-matter expert, leading a team and coordinating with other teams on key decisions.

What you'll do

• Lead the development and implementation of fine-tuning methodologies to optimize model performance.
• Analyze model outputs and iterate on fine-tuning strategies.
• Continuously evaluate and adjust language models to maintain their relevance and effectiveness across diverse applications.
• Facilitate knowledge sharing and mentorship within the team to foster skill development and innovation.
• Coordinate cross-functional efforts to align model capabilities with business objectives.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for your immediate team and across multiple teams.
• Be responsible for team decisions.

What you'll need

• Minimum 7.5 years of experience in Generative AI.
• 15 years of full-time education.
• Proficiency in Generative AI, Large Language Models (LLMs), Python Frameworks, API Management, Agentic AI, and Prompt Engineering.
• Strong experience in designing and executing instruction fine-tuning and domain adaptation techniques for language models.
• Ability to work with large-scale datasets and perform data preprocessing to support model training.
• Familiarity with model evaluation metrics and techniques to assess and improve model accuracy and relevance.
• Experience in integrating AI models with application programming interfaces to enable seamless deployment.
• Capability to troubleshoot and optimize model performance in production environments.

Details

• Based at the Bengaluru office.