Software Engineer Trainee
Accenture India Private LimitedJob Description
Large Language Model Architect
Project Role : Large Language Model ArchitectProject 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, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data, ultimately contributing to advancements in natural language processing technology.
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.
- Mentor junior professionals to enhance their skills and knowledge in language model architecture.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Strong understanding of neural network architectures and their applications in natural language processing.
- Experience with training and fine-tuning large-scale language models.
- Familiarity with data preprocessing techniques for text data.
- Knowledge of evaluation metrics for language models.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models.
- This position is based in Chennai.
- A 15 years full time education is required.
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Accenture India Private LimitedYou can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.
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