RASA chatbot developer

Job Title: RASA chatbot developer
Location: Remote (NY & PA prefer nearby)
Only W2 Candidates are required
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 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 a highly personalized user experience.

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

REQUIRED SKILLS-

• 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 is 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, Zoh, 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job Title: RASA chatbot developer
Location: Remote (NY & PA prefer nearby)
Only W2 Candidates are required
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 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 a highly personalized user experience.

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

REQUIRED SKILLS-

• 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 is 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, Zoh, 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.