Large Language Model Architect

Accenture; India; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Accenture in India is seeking a Senior Large Language Model Architect to design and scale advanced language models. You will architect LLMs, optimize training on large unlabeled data, and collaborate with multiple teams to ensure model capabilities meet project goals.

The role requires deep expertise in NLP architectures, 18+ years of experience, and 15 years of full-time education. Based at the DDC 1A - STPI office in India, the position offers impactful work across diverse applications.

Qualifications

• Must have skills: Proficiency in Large Language Models (LLMs).
• Experience in designing neural network architectures tailored for NLP tasks.
• Strong understanding of training methodologies involving large-scale unlabeled text datasets.
• Ability to optimize model parameters for improved accuracy and computational efficiency.

Responsibilities

• SME with deep knowledge and experience.
• Influencing and advisory skills.
• Engage with multiple teams and responsible for team decisions.
• Provide solutions to cross-team business area problems.
• Lead the development and implementation of model architectures meeting evolving project requirements.
• Facilitate knowledge sharing and mentorship within the team.
• Collaborate with stakeholders to translate business needs into technical specifications and actionable plans.

Skills

Large Language Models (LLMs)

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)

Good to have skills : NA

Minimum 18 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary: As a Large Language Model Architect, your day involves designing and structuring advanced language models capable of understanding and generating human-like text. You will focus on creating architectures that efficiently process vast amounts of unstructured text data, ensuring the models are optimized for performance and scalability. Collaboration with various teams to align model capabilities with project goals and continuous refinement of model parameters to enhance output quality are key aspects of your role. Your work supports the development of innovative solutions that leverage natural language understanding across diverse applications.

Roles & Responsibilities

• Expected to be a SME with deep knowledge and experience.
• Should have influencing and Advisory skills.
• Engage with multiple teams and responsible for team decisions.
• Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
• Lead the development and implementation of model architectures that meet evolving project requirements.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth.
• Collaborate with stakeholders to translate business needs into technical specifications and actionable plans.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Large Language Models (LLMs).
• Experience in designing neural network architectures tailored for natural language processing tasks.
• Strong understanding of training methodologies involving large-scale unlabeled text datasets.
• Ability to optimize model parameters for improved accuracy and computational efficiency.
• Familiarity with state-of-the-art techniques in natural language generation and understanding.
• Skilled in evaluating model performance and implementing iterative improvements.

Additional Information

• The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
• This position is based at our DDC 1A - STPI office.
• A 15 years full time education is required.

15 years full time education

Equal Employment Opportunity Statement

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