Job
Description
Required Skills And Qualifications At least 8 years of experience implementing Chatbot technologies Knowledgeable in basic concepts of NLP and NLU Intent Classification, Keyword/Entity extraction , Text Similarity, Text Pre-processing, dialog flows, speech to text, text to speech and telephony systems. Basic knowledge of Machine Learning concepts Training, Accuracy Evaluation Development experience in NodeJS, REST Services. Experience of working in cloud environment like Azure, AWS, Google Cloud Platform, IBM Cloud Ability to embed chatbot in multiple channels like Website, SMS, Email, Skype, Facebook Messenger, MS Teams, WhatsApp etc Knowledge on all phases of software development, including UI design and development, microservices design and development, relational and non-relational DBs, APIs and external integration, quality assurance, validation documentation, security, and infrastructure. Knowledge on business functions and user stories, decompose them into technical specifications, and develop working application code for a cloud environment. Hands on experience in building applications using Java Script frameworks (NodeJS), AngularJS/ReactJS, SQL and No SQL Databases Experience with JSON Knowledge of analytics / visualization via dashboards and reporting tools Education Requirements Bachelors degree in Computer Science, Engineering, Statistics, Technical Science, or 3+ years of IT/Programming experience Minimum 2 years of experience in solutioning for Artificial Intelligence use cases, plus web application development & systems integration experience eg REST/SOAP Prior solutioning experience with No SQL databases, integrating unstructured data Preferred Skills Hands on experience in one or more of the following AI technologies: Language Natural Language Processing, Natural Language Understanding, Speech to Text, Text to Speech, Sentiment Analysis, Language Detection, Classification, Telephony channel experience AI solutions Virtual Agents, intelligent case processing, Video Analytics, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations, voice technologies (Speech To Text & Text To Speech), Custom Language Model creation. Knowledge and experience in some of the key AI platforms, eg, Kore.ai, Servicenow VA, IBM Watson, Microsoft Azure Cognitive Services, Google Dialogflow Web UI and dashboard design experience Experience working in a DevOps environment, and using industry standard tools (GIT, JIRA) Able to explain technical concepts in a non-technical language Professional Skill Requirements Proven success in contributing to a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment
