Large Language Model Architect

Accenture

Chennai District

On-site

INR 1,200,000 - 1,800,000

Full time

11 days ago

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Job summary

Accenture in Chennai is seeking a Large Language Model Architect to design and optimize LLMs for natural language processing, collaborating with cross-functional teams to define model specifications.

You will experiment with architectures, train and fine-tune models on large text datasets, troubleshoot performance, and mentor junior engineers while evaluating emerging technologies to advance capabilities.

Qualifications

  • Must have proficiency in Large Language Models (LLMs).
  • Strong understanding of neural network architectures for NLP.
  • Experience with training and fine-tuning large-scale language models on diverse datasets.

Responsibilities

  • SME and lead a team on LLM architecture decisions.
  • Collaborate with multiple teams to define model specifications and drive key decisions.
  • Mentor junior team members to enhance skills in LLM architecture.
  • Continuously evaluate emerging technologies to improve model performance and efficiency.

Skills

Large Language Models
Neural networks
Python
TensorFlow
PyTorch
Model fine-tuning

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

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 neural network architectures, and analyzing the performance of models trained on extensive datasets. You will also be responsible for troubleshooting and optimizing model performance, ensuring that the solutions you develop meet the highest standards of quality and efficiency. Your role will be pivotal in advancing the capabilities of natural language processing technologies within the organization.

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.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Mentor junior team members to enhance their skills and knowledge in large language model architecture.
  • Continuously evaluate emerging technologies and methodologies to improve model performance and efficiency.
Professional & Technical Skills:
  • Must To Have Skills: Proficiency in Large Language Models (LLMs).
  • Strong understanding of neural network architectures and their applications in natural language processing.
  • Experience with training and fine-tuning large-scale language models on diverse datasets.
  • 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 5 years of experience in Large Language Models (LLMs).
  • This position is based at our Chennai office.
  • A 15 years full time education is required.

Minimum 5 year(s) of experience is required

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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