Data Scientist

Responsibilities:

• Prototype and validate NLP solutions using agile methodologies and best practices. Conduct exploration and development on various NLP topics, such as text classification, named entity recognition, sentiment analysis, question answering, topic classification summarization, etc.
• Design, implement, and evaluate POCs and end-to-end solutions using OpenAI LLMs and other open source LLMs.
• Optimize and fine-tune the performance of LLMs using prompt engineering and RAG-based methods.
• Deploy and monitor NLP models and applications in production environments.
• Communicate and present NLP results and insights to internal and external stakeholders.
• Collaborate with other AI team members and stakeholders to understand the requirements, propose solutions, and deliver high-quality results.
• Communicate effectively with the business partners and present the solutions in a clear and concise manner.
• Stay updated with the latest developments and trends in NLP and LLMs.

Key skills:

• Computer science
• Data management
• Machine learning
• Agile
• SQL
• Python

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