AI Engineer

Model Development
- Design, develop, and enhance CV, NLP, Speech, LLM and Multimodal
models for diverse applications including customer support, chatbots, RAG and automated assistance tools.
- Conduct research, experiments and evaluation to advance the state- of- the- art in CV, NLP, Speech, LLM and Multimodal models.
Data Management
- Implement data augmentation and enhancement techniques to improve model robustness.
- Collect, preprocess, and curate large datasets for training and evaluation of CV, NLP, Speech, LLM and Multimodal models.
Model Deployment
- Deploy and maintain models in production environments, ensuring high availability and performance.
- Develop APIs and services to make CV, NLP, Speech, LLM and Multimodal models capabilities accessible to other teams and applications.
Performance Monitoring
- Implement monitoring and logging for deployed models to ensure performance, reliability, and scalability.
- Conduct regular evaluations and fine- tuning of models based on feedback and new data.
Documentation and Reporting
- Communicate findings and progress to stakeholders through reports and presentations.
- Document methodologies, experiments, and results comprehensively.
Continuous Improvement
- Stay updated with the latest advancements in NLP, LLM, and AI research.
- Contribute to the continuous improvement of the team&039;s processes, tools, and methodologies.

Cập nhật gần nhất lúc: 2024-11-01 20:10:02