Large Language Model Architect

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 : NA 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, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires careful planning of neural network configurations and managing extensive datasets to ensure the models perform effectively. The position demands continuous refinement of model architectures to enhance their ability to interpret and produce natural language, contributing to innovative solutions in 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 cross-functional teams to align model development with project goals and requirements. - Continuously evaluate and optimize model performance to meet evolving business needs. - Document architectural decisions and maintain clear communication with stakeholders. - Support junior team members by sharing knowledge and providing guidance on best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics. - Strong understanding of neural network architectures and their application in natural language processing. - Experience in handling and processing large volumes of unstructured text data. - Ability to design and tune parameters for complex machine learning models. - Familiarity with model evaluation techniques and performance metrics specific to language models. - Capability to troubleshoot and resolve issues related to model training and deployment. Additional Information: - The candidate should have minimum 3 years of experience in SAS Analytics. - This position is based at our Hyderabad office. - A 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 is required. 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.