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, Microsoft Azure Data Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education 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 the training process using extensive datasets. The position demands continuous evaluation and refinement of model architectures to enhance performance and applicability across various natural language processing tasks. Collaboration with cross-functional teams to integrate these models into broader systems is also a key aspect of daily activities, ensuring that the solutions meet evolving project requirements and industry standards. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and implementation of innovative language model architectures to meet project goals. - Facilitate knowledge sharing and mentorship within the team to support professional growth and skill enhancement. - Coordinate with stakeholders to align technical strategies with business objectives and ensure timely delivery of solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML). - Good To Have Skills: Experience with Snowflake Data Warehouse, Microsoft Azure Data Services. - Strong understanding of neural network design and optimization techniques. - Experience in handling large-scale datasets and training models on unlabeled text data. - Familiarity with natural language processing frameworks and tools. - Ability to evaluate model performance and implement improvements based on quantitative metrics. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning (ML). - This position is based at our Gurugram 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.