Machine Learning Engineer

Start Date : Immediately

Location : Gurgaon

Experience : Minimum 2 years

Verismart.ai is a blockchain-based data exchange platform that enables businesses to share their data with each other in a privacy-compliant manner without losing data ownership or abusing users. VeriSmart platform tracks who shared what data with whom, when & by what means & for what purpose without storing any user data on the platform. The platform helps businesses to create a recurring revenue model by monetizing their data on a subscription basis.

Job Description :

- Developing 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.

QUALIFICATIONS :

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

SKILLS REQUIRED :

- Minimum 2+ years of experience in Chatbot Development using the Rasa open-source framework.

- Hands-on experience building and deploying chatbots.

- 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 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 & 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 the python programming language.

- Experience with various chatbot frameworks especially Rasa and DialogFlow.

- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.

- Experience with RESTful services.

- Good understanding of HTTPS and Enterprise security.

- Hands on experience on open-source LLM and framework like Ollama,Langchain etc.