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), Python Frameworks, Generative AI, Agentic AI
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Large Language Model Developer, a typical day involves refining and adapting advanced language models to better suit specific domains and user instructions. This role requires continuous engagement with evolving model architectures and datasets to improve the model's contextual understanding and output quality. The workday includes analyzing model behavior, experimenting with fine-tuning techniques, and iterating on solutions to ensure the models perform optimally in targeted applications. Collaboration with various teams to align model capabilities with project goals is also a key aspect of daily activities.

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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of fine-tuning strategies to enhance model accuracy and relevance.
- Coordinate cross-functional efforts to integrate domain-specific knowledge into model training processes.
- Mentor junior team members by providing guidance on best practices and technical challenges.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, Python Frameworks, Agentic AI.
- Strong expertise in natural language processing techniques and model fine-tuning methodologies.
- Experience with large-scale data handling and preprocessing to support model training and evaluation.
- Ability to design and implement domain adaptation strategies to improve model performance in specialized contexts.
- Familiarity with model evaluation metrics and techniques to assess and enhance language model outputs.
- Skilled in debugging and optimizing machine learning pipelines for efficiency and scalability.

Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Chennai office.
- A 15 years full time education is required.

15 years full time education

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