RASA chatbot developer

Job Title: RASA chatbot developer (2)

Visa Type: USC & GC only

Location: Remote ( NY & PA prefer nearby )

ROLES & RESPONSIBILITIES

• Developing RASA chatbots and voice assistants 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), NLG for chatbots
• Integration of chatbots with Management Dashboards and CRMs
• Resolve complex technical design issues by analysing 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 a highly personalized user experience.

QUALIFICATIONS -

B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities

SKILLS REQUIRED

• Minimum 6-7 years' experience in Chatbot Development using Rasa open-source.
• RASA enterprise experience is preferred and mandatory
• Hands-on experience building and deploying chatbots.
• Live agent integration experience in mandatory
• Experience in Conversational AI platforms 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 the 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 of digital assistants such as Amazon Alexa, Google Assistant, etc.
• Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answers, 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 server deployments
• Knowledge of Linux shell commands.
• Integration with Chat/Social software like Facebook Messenger, Twitter, SMS, Whatsapp
• Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho etc.

MUST HAVE:

• Strong foundation in the python programming language.
• Experience with enterprise chatbot frameworks especially Rasa.
• A strong understanding of other AI tools and applications like
• TensorFlow, Spacy, and NLU is a BIG plus.
• Experience with RESTful API services.
• Good understanding of HTTPS and Enterprise security.