Senior LLM Architect: Masterful Language Model Design

Accenture

Hinoba-an

On-site

PHP 1,800,000 - 3,000,000

Full time

4 days ago
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Job summary

Accenture is seeking a Large Language Model Architect to design, implement, and optimize cutting-edge language model architectures at our DDC2A - SEZ location in the Philippines. The role involves planning neural network configurations, overseeing training on extensive unlabeled data, and continuously refining model capabilities to meet project goals.

Collaboration with cross-functional teams is essential. The ideal candidate will have extensive LLM experience, strong analytical skills, and a

Qualifications

  • Must Have Skills: Proficiency in Large Language Models (LLMs).
  • Experience with designing and tuning neural network parameters for natural language processing applications.
  • Strong understanding of model training techniques using large-scale unlabeled text datasets.
  • Familiarity with state-of-the-art architectures in language modeling and their practical implementations.
  • Ability to analyze model performance metrics and implement improvements to enhance accuracy and efficiency.

Responsibilities

  • Lead the development and optimization of large language model architectures to meet evolving project requirements.
  • Coordinate with stakeholders to ensure alignment of model capabilities with business objectives and technical constraints.
  • Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems that apply across multiple teams.

Skills

LLMs
Neural networks
Model tuning
Performance metrics

Education

15 years full time education

Job description

Accenture is seeking a Large Language Model Architect to design, implement, and optimize cutting-edge language model architectures at our DDC2A - SEZ location in the Philippines. The role involves planning neural network configurations, overseeing training on extensive unlabeled data, and continuously refining model capabilities to meet project goals.

Collaboration with cross-functional teams is essential. The ideal candidate will have extensive LLM experience, strong analytical skills, and a

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