【About the Opportunity】
We are seeking a passionate and experienced Lead Data Scientist to join our team and play a pivotal role in developing a next-generation generative AI-powered chatbot application specifically focused on the medical field. You will leverage your expertise in Natural Language Processing (NLP), machine learning, and experience with cutting-edge LLM solutions to design, build, and deploy this intelligent chatbot solution.
【Responsibilities】
• Lead the design and development of NLP models for the medical chatbot, including tasks like intent classification, dialogue act recognition, and response generation, ensuring adherence to relevant medical guidelines and regulations.
• Work closely with engineers, product managers, and medical professionals to define chatbot functionalities, user experience, and data security protocols.
• Utilize industry-leading NLP services and leverage cutting-edge LLM solutions from providers like OpenAI, Gemini, and potentially Retrieval-Augmented Generation (RAG) techniques to implement robust NLP functionalities within the medical domain.
• Train and fine-tune NLP models on labeled medical data, ensuring high accuracy, performance, and adherence to ethical considerations in handling sensitive health information.
• Integrate the chatbot with medical knowledge bases and relevant information sources to enable access to accurate and up-to-date medical information for responses.
• Develop and implement robust quality assurance processes to ensure the chatbot's responses are medically accurate, unbiased, and reliable.
• Monitor and evaluate the chatbot's performance within the medical context, identify areas for improvement, and iterate on the models to maintain accuracy and address potential biases.
• Stay up-to-date with the latest advancements in NLP, generative AI research, and specifically with applications in the medical field.
• Champion the adoption of Git for codebase version control and a CI/CD framework to ensure efficient development, collaboration, and maintainability of the project.
• Lead the development and implementation of an end-to-end machine learning pipeline, encompassing data pre-processing, model training, deployment, and monitoring for the chatbot solution.
• Collaborate with cross-functional teams (engineering, product, design, medical professionals) to ensure successful integration and deployment of the medical chatbot application.
• Provide technical leadership and mentorship to junior data scientists within the team.
