AI / ML Engineer - Prompt Engineering

Key Responsibilities :

• Dataset Creation and Management (with Sales & Conversational Focus) : Lead the design, development, and curation of high-quality datasets specifically tailored for building robust AI models. This includes data collection strategies, data cleaning,feature engineering, and ensuring data integrity and suitability for various modeling tasks. Crucially, this will involve creating and annotating conversational datasets for sales interactions, including intent recognition, entity extraction, dialogue states, and effective sales responses.
• Model Development & Deployment : Architect, develop, train, and deploy advanced AI / Machine Learning models for various applications. This will involve selecting appropriate model architectures (e.g., deep learning, traditional ML), optimizing model performance, and ensuring scalability and reliability in production environments.
• Conversational Sales AI Development (Core Focus) : Design, build, and optimize a sophisticated conversational AI agent specifically for selling health insurance products.

This includes :

(ref : hirist.tech)