- Location
- Bengaluru, BDC14A, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 12+ years
- Source
- Workday
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 12 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 envisioning the architecture of neural networks that process vast amounts of unstructured text data, ensuring the models are optimized for performance and scalability. The position demands continuous evaluation and refinement of model parameters to enhance language comprehension and generation capabilities, while collaborating with various teams to align the model development with broader project goals and technological advancements.
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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of innovative strategies to improve model efficiency and accuracy.
- Mentor junior team members by providing guidance and support to foster their professional growth.
- Coordinate cross-functional efforts to ensure seamless integration of language models into existing systems.
- Continuously monitor emerging trends and advancements in language modeling to inform project direction.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Strong expertise in neural network design and optimization techniques.
- Experience with large-scale data processing and management.
- Ability to analyze and interpret complex datasets to improve model performance.
- Familiarity with natural language processing frameworks and tools.
- Skilled in troubleshooting and resolving technical challenges related to language model deployment.
Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru 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 12 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 envisioning the architecture of neural networks that process vast amounts of unstructured text data, ensuring the models are optimized for performance and scalability. The position demands continuous evaluation and refinement of model parameters to enhance language comprehension and generation capabilities, while collaborating with various teams to align the model development with broader project goals and technological advancements.
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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of innovative strategies to improve model efficiency and accuracy.
- Mentor junior team members by providing guidance and support to foster their professional growth.
- Coordinate cross-functional efforts to ensure seamless integration of language models into existing systems.
- Continuously monitor emerging trends and advancements in language modeling to inform project direction.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Strong expertise in neural network design and optimization techniques.
- Experience with large-scale data processing and management.
- Ability to analyze and interpret complex datasets to improve model performance.
- Familiarity with natural language processing frameworks and tools.
- Skilled in troubleshooting and resolving technical challenges related to language model deployment.
Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru 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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