Large Language Model Architect
Accenture · Bengaluru · onsite · Posted 49d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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), RAG, Langchain
Good to have skills : NA
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 extensive datasets to ensure the models perform effectively. The architect collaborates with various teams to align the model''s capabilities with project goals, continuously refining the system to enhance natural language processing outcomes. The position demands a thoughtful approach to innovation and problem-solving within a dynamic and evolving technological environment.
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 scalable language model architectures.
- Ensure alignment of model design with organizational objectives and project requirements.
- Mentor junior team members to support their growth and integration within the team.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), RAG, Langchain.
- Strong knowledge of neural network design and optimization techniques.
- Experience with natural language processing frameworks and tools.
- Ability to work with large-scale unlabeled text datasets for model training.
- Familiarity with model evaluation metrics and performance tuning.
- Skilled in integrating language models into broader AI systems and workflows.
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our BDC6F - SEZ office.
- A 15 years full time education is required.
Qualification
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), RAG, Langchain
Good to have skills : NA
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 extensive datasets to ensure the models perform effectively. The architect collaborates with various teams to align the model''s capabilities with project goals, continuously refining the system to enhance natural language processing outcomes. The position demands a thoughtful approach to innovation and problem-solving within a dynamic and evolving technological environment.
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 scalable language model architectures.
- Ensure alignment of model design with organizational objectives and project requirements.
- Mentor junior team members to support their growth and integration within the team.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), RAG, Langchain.
- Strong knowledge of neural network design and optimization techniques.
- Experience with natural language processing frameworks and tools.
- Ability to work with large-scale unlabeled text datasets for model training.
- Familiarity with model evaluation metrics and performance tuning.
- Skilled in integrating language models into broader AI systems and workflows.
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our BDC6F - SEZ office.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
Retrieval Augmented Generationmodel evaluationworkflowsPerformance Tuningoptimization techniqueslanguage modelsNetwork DesignNatural Language ProcessingLarge Language ModelLarge Language Models (LLMs)refiningLangchainArtificial Intelligence
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IT Services & Consulting
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