DolphinChat - Senior Chatbot Developer - Python/Django (2-4 yrs) (DolphinChat)

ROLES & RESPONSIBILITIES :

- 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 experience.

QUALIFICATIONS :

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

SKILLS REQUIRED :

- 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 Digital Ocean, 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.

MUST HAVE :

- 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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