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 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Large Language Model Architect, your day involves designing and structuring advanced language models capable of understanding and generating human-like text. You will focus on creating neural network configurations that efficiently process vast amounts of unstructured text data. Your role includes conceptualizing model architectures that enhance natural language comprehension and generation, ensuring the models are scalable and adaptable to various applications. Collaboration with cross-functional teams to align model capabilities with project goals is a key part of your daily activities, alongside continuous evaluation and refinement of model performance to meet evolving requirements.

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 research and engineering teams to integrate language models into broader systems and applications.
- Continuously monitor and optimize model performance to ensure efficiency and accuracy in real-world scenarios.
- Document architectural decisions and model design processes to support knowledge sharing and future development.
- Assist junior team members by providing guidance and support in understanding complex model architectures.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and tuning neural network architectures for natural language processing tasks.
- Strong understanding of language model training methodologies using large-scale unlabeled datasets.
- Familiarity with techniques for optimizing model parameters to improve text generation quality and relevance.
- Ability to analyze and troubleshoot model behavior to enhance robustness and generalization.
- Knowledge of scalable computing environments to support training and deployment of large models.

Additional Information:
- The candidate should have minimum 3 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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