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:
AI Powered Tech Talent

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 processing of extensive datasets composed of unlabeled text. The position demands continuous refinement of model architectures to enhance performance and adaptability across various applications, ensuring that the language models meet the evolving needs of the organization and its stakeholders. Collaboration with cross-functional teams to align model capabilities with project goals is also a key aspect of daily activities.

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 requirements.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to ensure alignment of model design with business objectives and technical constraints.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Good To Have Skills: Snowflake Data Warehouse, Microsoft Azure Data Services.
- Strong understanding of neural network design and optimization techniques.
- Experience with large-scale data processing and management.
- Ability to develop and fine-tune models trained on extensive unlabeled datasets.
- Familiarity with natural language processing frameworks and tools.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

About Accenture

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