Large Language Model Architect

Accenture India Private Limited; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture India Private Limited is seeking a Large Language Model Architect to design and implement advanced natural language processing models. This role requires collaboration with cross-functional teams to define specifications and optimize model performance.

The ideal candidate should have at least 3 years of experience in large language models and a strong grasp of neural network architecture. The position is based in the Bengaluru office, and candidates must have completed 15 years of full-time education.

Qualifications

• Minimum 3 years of experience in large language models.

Responsibilities

• Perform independently and become a subject-matter expert.
• Actively participate and contribute in team discussions.
• Provide solutions to work-related problems.
• Collaborate with data scientists and engineers to refine model architecture and improve performance.
• Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies.

Skills

Proficiency in large language models

Strong understanding of neural network architectures

Experience with data preprocessing techniques for text data

Familiarity with machine learning frameworks (TensorFlow, PyTorch)

Ability to analyze and interpret model performance metrics

Education

15 years full-time education

Job description

Large Language Model Architect Project Role

Architect large language models (LLM) that can process and generate natural language. Design neural network parameters and train on large quantities of unlabeled text data. The role requires collaborating with cross‑functional teams to define model specifications, experiment with neural network architectures, analyze performance, troubleshoot and optimize models, and stay updated on the latest advances in natural language processing.

Roles & Responsibilities

• Perform independently and become a subject‑matter expert.
• Actively participate and contribute in team discussions.
• Provide solutions to work‑related problems.
• Collaborate with data scientists and engineers to refine model architecture and improve performance.
• Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies.

Professional & Technical Skills

• Proficiency in large language models.
• Strong understanding of neural network architectures and their applications in natural language processing.
• Experience with data preprocessing techniques for text data.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Ability to analyze and interpret model performance metrics.

Additional Information

• Minimum 3 years of experience in large language models.
• Location: Bengaluru office.
• Educational qualification: 15 years full‑time education required.