Job RequirementsConversational AI - Engineer**Overall Experience**: 8 to 10+ Years- Hands on experience in any of the leading conversation AI platforms/tools like - RASA, Amelia, Kore.Ai, Amazon Lex, Google DialogFlow etc.- 3+ years of experience building end-to-end NLU, NLP or conversational AI systems in a production environment- Knowledge of conversational design, flow, and natural language generation- Experience in automation of Custom contact centers using Conversational AI implementation is an added advantage.- Hands on experience on micro services, RESTful API, Web Socket, JSON, XML, SQL, NoSQL, Web API- Development experience using modern programming languages (e.G. JavaScript, Java, Python)- Mobile development experience (iOS, Android) is a plus.- Willingness to explore and learn new technology/tool is desired.- Experience working in Agile methodology- Excellent written and oral communication skills to collaborate with various stakeholders to understand the existing bot framework, architecture, design principles and implement it to meet business needs.**Responsibilities**:- Design and build data-driven conversation models with emphasis on realism and natural flow- Analyze and evaluate the quality of a human-BOT conversation and suggest ways to improve it- Efficiently conduct experiments to validate conversational AI algorithms with respect to product goals- Collect and curate training data, train models, and optimize them for deployment- Be a champion of engineering excellence and propose systematic changes to achieve itWork ExperienceConversational AI platform - Hands on exp in any (MS Bot framework, Dialog Flow, Amelia, Openstream.Ai, Kore.Ai etc)Development skill - Type script, Java script, C#, Azure cloud and services, CI/CD, SQL DB and NoSql DB, Restful API integration, Oauth2.0, basic knowledge on AI/MLConversational AI - Conversational design, Multi-Channel, Multi lingual, NLU, NLG, Voice Bot, live agent transfer, Knowledge of customer care centerProcess, Scalability & Re-usability - Software development process & design principles, quick learner to develop POCs, R&D in new areas