Developing chatbots and voice assistant on various platforms for diverse business use-cases
Work on a chatbot framework/architecture using an open-source tool or library
Implement Natural Language Processing (NLP) for chatbots
Integration of chatbots with Management Dashboards and CRMs
Resolve complex technical design issues by analyzing the logs, debugging code and identifying technical issues/challenges/bugs in the process
Deploy applications using CI/CD tools
Designing and building highly scalable AI and ML solutions
Ability to understand business requirements and translate them into technical requirements
Open minded, flexible and willing to adapt to changing situations
Ability to work independently as well as on a team and learn from colleagues
High adaptability in a dynamic start-up environment.
Experience with bot multi-lingual utilization (preferred)
Experience with bot human escalation
Ability to optimize applications for maximum speed and scalability
Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build highly personalized user B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
Minimum 2+ years experience in Chatbot Development using Rasa open source framework.
Hands on experience building and deploying chatbots.
Experience in Conversational AI platform for enterprises using ML and Deep Learning.
Experience with both text to speech and vice versa transformation incorporation.
Should have a good understanding of various Chatbot frameworks/platforms/libraries.
Build and evolve/train NLP platform from natural language text data being gathered from users on a daily basis.
Code using primarily Python.
Experience with bots for platforms like Facebook Messenger, Slack, twitter, Whatsapp etc.
Knowledge on digital assistants such as Amazon Alexa, Google assistant etc.
Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques- NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG etc.
Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities and context.
Knowledge of SQL and NoSQL Databases such as MySql, MongoDB, Cassandra, Redis, PostgreSQL
Experience with working on public cloud services such as DigitalOcean, AWS, Azure, or GCP.
Knowledge of Linux shell commands.
Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho etc.
Strong foundation in python programming language.
Experience with various chatbot frameworks especially Rasa and Dialogflow.
Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus.
Experience with RESTful services.
Good understanding of HTTPS and Enterprise security.
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