Conversational Data Scientist
Core
Develop and optimize dynamic chat interactions and AI-driven conversational flows on a new conversational platform to ensure effective customer help within two minutes.
Role type
Conversational Data Scientist
Builds
AI-driven conversational flows, intelligent prompts, embeddings, and retrieval mechanisms (RAG) integrated with backend systems
Domain
Customer service automation, Conversational AI, Generative AI
Deliverable
production ML models | product features
Required skills
LLMs, RAG, NLP, generative AI applications, Python, LangChain, LlamaIndex, API integrations, microservices, event-driven architectures, data analysis, A/B testing, model optimization, conversational design, cloud platforms (Azure, AWS), model deployment
Technologies
LangChain, LlamaIndex, Azure, AWS
Responsibilities
Develop and optimize dynamic conversational flows based on LLMs; Design and implement intelligent prompts, embeddings, and retrieval mechanisms (RAG); Integrate conversational solutions with backend systems via APIs and CMP servers; Analyze chat data, user interactions, and AI output to continuously improve models and conversations; Develop data models and experiments (A/B testing) to increase conversational performance; Validate and fine-tune AI models for accuracy, bias, and reliability
Seniority
Mid-to-Senior, hands-on IC