Large Language Model Architect

Accenture in India; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Accenture in India is seeking a Senior Large Language Model Architect to design and optimize language models for diverse applications. You will shape neural architectures, balance performance with scalability, and guide teams through experimentation and deployment.

The role requires extensive experience with LLMs, NLP tasks, and state-of-the-art frameworks. Office presence in Gurugram and collaboration with multiple teams are essential.

Qualifications

• Must have proficiency in large language models and NLP tasks.
• Experience designing neural architectures for language tasks.
• Ability to optimize models for performance and efficiency.
• Familiarity with state-of-the-art LM frameworks and tools.

Responsibilities

• Lead design and architecture of large language models for project needs.
• Collaborate with cross-functional teams to integrate models into systems.
• Drive experiments, analyze results and iterate improvements.
• Mentor teams and define best practices for model development.
• Coordinate with stakeholders to align architecture with goals.

Skills

Large Language Models (LLMs)

NLP model design

Model evaluation & tuning

Education

15 years 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)

Good to have skills :

NA

Minimum 12 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 scalability. The workday includes analyzing model behavior, refining parameters, and collaborating with various teams to align the model's capabilities with project goals. Continuous evaluation and iteration are key aspects, as well as anticipating future requirements to enhance the model's effectiveness 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.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the development and implementation of innovative strategies to improve model accuracy and efficiency.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
• Coordinate cross-functional efforts to ensure seamless integration of language models into broader systems.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models (LLMs).
• Experience in designing and tuning neural network architectures for natural language processing tasks.
• Strong understanding of model training techniques using large-scale unlabeled datasets.
• Ability to optimize model parameters for improved performance and resource efficiency.
• Familiarity with state-of-the-art language model frameworks and tools.
• Skilled in evaluating model outputs and implementing iterative improvements based on feedback.

Additional Information:

• The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
• This position is based at our Gurugram office.
• A 15 years full time education is required.