- Search and Retrieval:Utilize your expertise in language models to improve search and retrieval algorithms.
Conduct thorough experiments and evaluate different AI models for various use cases.
Select and implement the most suitable AI models for improving search and retrieval performance
- Conversational AI:Develop conversational AI services using large language models to enable interactions such as question answering and summarization
Leverage open source language models (LLMs) and/or proprietary models and vendor platforms like Google/Microsoft/OpenAI to effectively solve customer problems
Collaborate with cross-functional teams, including UX/UI designers, to deliver exceptional user experiences to stakeholders
- Model Development and Training:Build and train working versions of AI models using the GS NLP platform
Leverage your knowledge of machine learning techniques to optimize and enhance the performance of the model
Collaborate with the data engineering team to ensure effective data pipelines for model training and push innovative deep learning models to production
- Reusable Patterns, Libraries, and Datasets:Identify and create reusable patterns, model catalogs, and datasets to improve efficiency and accelerate development
Contribute to the company's internal knowledge base by documenting best practices and sharing insights with the team