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Large Language Model Architect

Accenture

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Location
Bengaluru, BDC7C, India
Type
Full-time
Department
Engineering
Experience
15+ years
Source
Workday

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 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. Your role includes conceptualizing model parameters and ensuring the models are scalable and adaptable to various natural language processing tasks. Collaboration with cross-functional teams to align model capabilities with project goals is a key part of your daily activities, alongside continuous evaluation and refinement of model performance to meet evolving requirements.

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 development and implementation of innovative language model architectures to address complex challenges.
- Mentor and guide 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 evaluate model performance using relevant metrics and improve model accuracy and efficiency.
- Familiarity with distributed computing environments and scalable machine learning frameworks.
- Expertise in integrating language models into broader AI systems and applications.

Additional Information:
- The candidate should have minimum 15 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru 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 

Equal Employment Opportunity Statement


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.

Skills

Machine Learning

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