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
- Amazon Web Services (AWS)
- Microsoft Azure Data Services
Minimum 15 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 architectures that efficiently process vast amounts of unstructured text data.
Your role includes conceptualizing model parameters and ensuring the scalability and robustness of these models to meet diverse application needs. Collaboration with various teams to align model capabilities with project goals is a key part of your daily activities, fostering innovation and driving the development of cutting-edge language technologies.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- 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 refinement of language model architectures to enhance performance and efficiency.
- Mentor and guide junior team members to build technical expertise and foster professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Good To Have Skills: Experience with Amazon Web Services (AWS), Snowflake Data Warehouse, Microsoft Azure Data Services.
- Solid understanding of neural network design and optimization techniques.
- Experience in handling large-scale unstructured text datasets for model training.
- Familiarity with natural language processing frameworks and tools.
- Ability to evaluate and improve model accuracy, scalability, and generalization.
Additional Information:
- The candidate should have a minimum of 15 years of experience in Machine Learning (ML).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.