Large Language Model Architect

Accenture in India

Gurugram District

On-site

INR 4,000,000 - 6,000,000

Full time

3 hours ago
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Job summary

Accenture in India is seeking a Large Language Model Architect to design and structure advanced language models capable of understanding and generating human-like text. You will envision neural network architectures and optimize them for performance on large unlabeled text data.

The role requires 8+ years in LLMs, expertise in Generative AI and Virtual Agents, and is based at our DDC 1 - STPI office in Gurugram. 15 years of education is mandatory for this position.

Qualifications

  • Must have skills: proficiency in Large Language Models (LLMs), Virtual Agents and Generative AI.
  • Minimum 8 years of experience in Large Language Models (LLMs).
  • Educational qualification: 15 years full time education.

Responsibilities

  • Lead the development and implementation of innovative language model architectures to meet project goals.
  • Collaborate with multiple teams to integrate models into broader systems.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Engage with stakeholders to drive decisions and direction for LLM projects.
  • Mentor team members and facilitate knowledge sharing.
  • Coordinate cross-functional efforts to ensure seamless integration of language models into existing platforms.

Skills

Large Language Models (LLMs)
Generative AI
Virtual Agents

Education

15 years full time education

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), Generative AI, Virtual Agents

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

As a Large Language Model Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that process vast amounts of unstructured text data, ensuring the models are optimized for performance and accuracy. The professional collaborates with various teams to integrate these models into broader systems, continuously refining and adapting the architecture to meet evolving project needs and technological advancements. The role demands a forward-thinking approach to harness the potential of language models in diverse applications.

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.
  • Lead the development and implementation of innovative language model architectures to meet project goals.
  • Facilitate knowledge sharing and mentorship within the team to foster professional growth.
  • Coordinate cross-functional efforts to ensure seamless integration of language models into existing platforms.
Professional & Technical Skills
  • Must To Have Skills: Proficiency in Large Language Models (LLMs), Virtual Agents, Generative AI.
  • Strong expertise in designing and tuning neural network parameters for natural language processing tasks.
  • Experience with large-scale data processing and handling unlabeled text datasets.
  • Ability to optimize model architectures for efficiency and scalability.
  • Familiarity with state-of-the‑art techniques in language generation and understanding.
  • Capability to troubleshoot and resolve complex issues related to model performance and deployment.
Additional Information
  • The candidate should have minimum 8 years of experience in Large Language Models (LLMs).
  • This position is based at our DDC 1 - STPI office.
  • A 15 years full time education is required.
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