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Large Language Model Architect
Accenture
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Section · 01
About this role
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 15 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 neural network architectures that efficiently process vast amounts of unstructured text data. Collaborating with various teams, you will oversee the development lifecycle of these models, ensuring they meet performance and scalability requirements. Your role includes continuous refinement of model parameters and adapting designs to evolving project needs, contributing to cutting-edge advancements in natural language processing technologies.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- 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 evaluation and integration of emerging technologies to enhance model capabilities.
- Mentor junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and optimizing neural network architectures for natural language processing.
- Strong understanding of training methodologies involving large-scale unlabeled text datasets.
- Ability to analyze model performance metrics and implement improvements.
- Familiarity with distributed computing environments to support large model training.
- Expertise in managing model scalability and deployment challenges.
Additional Information:
- The candidate should have minimum 15 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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