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 : Google Cloud Data Services
Good to have skills : Snowflake Data Warehouse, Microsoft Azure Data Services
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
In the role of Large Language Model Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This includes conceptualizing the architecture of neural networks and overseeing the training processes using extensive datasets. The role requires continuous evaluation and refinement of model parameters to enhance performance and accuracy, ensuring the models meet the desired objectives. Collaboration with various teams to integrate these models into broader systems and addressing challenges related to scalability and efficiency are also key aspects 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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of innovative strategies to optimize model performance and resource utilization.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to align project goals with organizational objectives and ensure timely delivery.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Data Services.
- Good To Have Skills: Experience with Snowflake Data Warehouse, Microsoft Azure Data Services.
- Strong expertise in designing and deploying scalable data architectures within cloud environments.
- Experience in managing large-scale data processing workflows and optimizing data pipelines.
- Ability to analyze complex datasets and translate findings into actionable insights for model improvement.
- Familiarity with cloud security best practices and data governance frameworks.

Additional Information:
- The candidate should have minimum 7 years of experience in Google Cloud Data Services.
- This position is based at our PDC5A - SEZ location.
- A 15 years full time education is required.

15 years full time education

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