Jobs Companies Accenture Large Language Model Architect

Sobre este puesto de Large Language Model Architect en Accenture

Accenture · Presencial · Bengaluru
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 : SAS Analytics
Good to have skills : Large Language Models (LLMs)
Minimum 3 year(s) of experience is required
Educational Qualification : The ideal candidate will possess a strong educational background in computer science or a related field along with a proven record of delivering impactful solutions using SAS Software Administration

Summary:
As a Large Language Model Architect, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language. Your typical day will involve collaborating with cross-functional teams to define project requirements, conducting research to enhance model performance, and iterating on designs based on feedback and testing results. You will also be responsible for analyzing data and refining algorithms to ensure the models meet the desired specifications and performance metrics, ultimately contributing to the advancement of natural language processing technologies.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with data scientists and engineers to integrate models into applications.
- Conduct experiments to evaluate model performance and iterate on designs based on findings.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in SAS Analytics.
- Good To Have Skills: Experience with Large Language Models (LLMs).
- Strong understanding of neural network architectures and their applications.
- Experience in processing and analyzing large datasets for model training.
- Familiarity with natural language processing techniques and tools.

Additional Information:
- The candidate should have minimum 3 years of experience in SAS Analytics.
- This position is based at our Bengaluru office.
- The ideal candidate will possess a strong educational background in computer science or a related field along with a proven record of delivering impactful solutions using SAS Software Administration.

The ideal candidate will possess a strong educational background in computer science or a related field along with a proven record of delivering impactful solutions using SAS Software Administration

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.

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