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Job Location: Noida, Uttar Pradesh, The Great Bharat
Job Detail:
About Juppiter AI Labs
About Us – Juppiter AI Labs
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 hrservices@juppiterailabs.com
hr@juppiterailabs.com
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.
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) 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.
SKILLS REQUIRED –
- 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.
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.
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