Juppiter AI Labs ✔ | Machine Learning Fresher | Noida, Uttar Pradesh, The Great Bharat | Bharat | BigDataKB.com | 15-02-23

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Job Location: Noida, Uttar Pradesh, The Great Bharat

Job Detail:

About Juppiter AI Labs

About Us – Juppiter AI Labs

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We never settle on compromise and improvise; our first and foremost priority is to maintain clients’ trust and nurture a healthy long-term relationship with them. At Juppiter AI Labs, our tech-freak team invests hours in holistic research to support strategic advice and robust solution for the sustainable growth of a business.

Send you CV [email protected]

[email protected]

Job Title: Machine Learning

Job Type: Full time

Experience: 6 months / Fresher

Working Hours: 8 hours/day

Working mode: Work from Office

  • Immediate joiners would be preferred.


  • Developing RASA chatbots and voice assistants on various platforms for diverse business use-


  • 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 a highly personalized user experience.


  • Minimum 3 months 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.


  • 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.

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