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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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 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 configurations that efficiently process vast amounts of unstructured text data. Your role includes exploring innovative approaches to optimize model performance and scalability, ensuring the architecture supports complex language 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 outputs to meet evolving requirements.
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 research and engineering teams to integrate language models into broader applications.
- Monitor and analyze model performance metrics to identify areas for improvement.
- Document architectural decisions and maintain clear communication of design rationale.
- Support junior team members by sharing knowledge and providing guidance on best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with neural network design and optimization techniques related to language processing.
- Strong understanding of natural language processing concepts and model training methodologies.
- Familiarity with handling large-scale unlabeled text datasets for model training.
- Ability to evaluate and fine-tune model parameters to enhance accuracy and efficiency.
- Knowledge of computational frameworks and tools used in developing and deploying language models.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
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 3 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 configurations that efficiently process vast amounts of unstructured text data. Your role includes exploring innovative approaches to optimize model performance and scalability, ensuring the architecture supports complex language 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 outputs to meet evolving requirements.
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 research and engineering teams to integrate language models into broader applications.
- Monitor and analyze model performance metrics to identify areas for improvement.
- Document architectural decisions and maintain clear communication of design rationale.
- Support junior team members by sharing knowledge and providing guidance on best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with neural network design and optimization techniques related to language processing.
- Strong understanding of natural language processing concepts and model training methodologies.
- Familiarity with handling large-scale unlabeled text datasets for model training.
- Ability to evaluate and fine-tune model parameters to enhance accuracy and efficiency.
- Knowledge of computational frameworks and tools used in developing and deploying language models.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- 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
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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.