RASA chatbot developer

Job Title: RASA chatbot developer

Duration: Contract ( 12 Month )

Location: Remote (Client location NYC)

ROLES & RESPONSIBILITIES:

• Developing RASA chatbots and voice assistants on various platforms for diverse business usecases
• Work on a chatbot framework/architecture using an opensource 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
• Openminded 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 startup environment.
• Experience with bot multilingual 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 67 years experience in Chatbot Development using Rasa opensource.
• RASA enterprise experience is preferred and mandatory
• Handson 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 texttospeech 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 NGrams 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.