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