Large Language Model Architect

Accenture in India; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Accenture in India seeks a Large Language Model Architect to design and architect LLMs capable of processing and generating natural language. You will collaborate with cross-functional teams to define model specifications and evaluate neural network architectures on large text datasets.

The role requires minimum 3 years of experience in LLMs, with 15 years of full-time education, and hands-on work with Python and ML frameworks such as TensorFlow or PyTorch.

Qualifications

• Must Have Skills: Proficiency in Large Language Models (LLMs).
• Strong understanding of neural network architectures and their applications in NLP.
• Experience with data preprocessing techniques to prepare text data for model training.

Responsibilities

• Act as SME for LLM-related projects and independently drive architecture decisions.
• Participate actively in team discussions and contribute solutions to complex problems.
• Collaborate with data scientists and engineers to refine model performance and usability.
• Conduct research on emerging NLP trends to enhance model capabilities.

Skills

Large Language Models

Neural network architectures

Python

TensorFlow

PyTorch

NLP

Education

15 years full time education

Tools

TensorFlow

PyTorch

Python

Job description

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, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language. Your typical day will involve collaborating with cross-functional teams to define model specifications, experimenting with various neural network architectures, and analyzing the performance of models trained on extensive datasets. You will also be responsible for documenting your findings and presenting them to stakeholders, ensuring that the models meet the required standards of efficiency and accuracy.

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 data scientists and engineers to refine model performance and usability.
• Conduct research on emerging trends in natural language processing to enhance model capabilities.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models.
• Strong understanding of neural network architectures and their applications in natural language processing.
• Experience with data preprocessing techniques to prepare text data for model training.
• Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch.
• Ability to analyze and interpret model performance metrics to drive improvements.

Additional Information:

• The candidate should have minimum 3 years of experience in Large Language Models.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.