Large Language Model Architect

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 : Machine Learning (ML) Good to have skills : Snowflake Data Warehouse, Amazon Web Services (AWS), Microsoft Azure Data Services 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 scalability and robustness of these models to meet diverse application needs. Collaboration with various teams to align model capabilities with project goals is a key part of your daily activities, fostering innovation and driving the development of cutting-edge language 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 development and refinement of language model architectures to enhance performance and efficiency. - Mentor and guide junior team members to build technical expertise and foster professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML). - Good To Have Skills: Experience with Amazon Web Services (AWS), Snowflake Data Warehouse, Microsoft Azure Data Services. - Strong understanding of neural network design and optimization techniques. - Experience in handling large-scale unstructured text datasets for model training. - Familiarity with natural language processing frameworks and tools. - Ability to evaluate and improve model accuracy, scalability, and generalization. Additional Information: - The candidate should have minimum 15 years of experience in Machine Learning (ML). - This position is based at our Hyderabad 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.