Job brief description We are looking for an experienced Natural Language Processing (NLP) Engineer with Knowledge graph to help us improve our NLP products and create new NLP applications. Someone who has worked in state of art technologies and has proof of concept. This is a highly technical role and an excellent academic and/or industry background (with specialization in NLP) with Master is preferred. Requirements: - 2-3 years of strong academic and industrial exposure to NLP, chatbots and graph technologies - Natural Language Text to Graph Conversion (Ontology/Knowledge base, KG Triplets), Graph based Search, Graph Optimisation, Link prediction, Knowledge Graph Traversal - Semantic Ontologies, Topic tagging, Designing and managing taxonomies, Thesauri, and/or Ontologies. - Develop and Optimize Search, Recommendation. Use the knowledge graph technique to make data more meaningful to the search. - Develop ML/DL Model for to build the Knowledge Graph. - Ability to create taxonomies from Natural Language documents and use for Recommendations. - Experience with Graph based guided flow for Natural Language Conversation. - Experience with automating Natural Language Conversations for Bots, Goal based guided flows using NLP Models and Techniques. - Should have broad overview of the field of Graph Analytics and demonstrated ways to model, store, retrieve and analyse graph-structured data. - Should have ability to model a problem into Graph Database and perform analytical tasks over graphs in a scalable manner. - Experience in applying different NLP techniques to problems such as text classification, text summarization, question &amp; answering, information retrieval, knowledge extraction and conversational bots design potentially with both traditional &amp; Deep Learning Techniques - Ability to design &amp; develop practical analytical approach keeping the context of data quality &amp; availability, feasibility, scalability, turnaround time aspects - Desirable to have demonstrated capability to integrate NLP technologies to improve chatbot experience. - Proficiency in scraping data from an external source and come up architectures to store and organize the information for insight generation. - Experience in analysing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable. - Contributions to open-source software projects is an added advantage - Analyse and model structured data using advanced statistical methods and implement algorithms - Experience and tenacity to go beyond available tools/technique to design solutions for product requirements Tech Stack: - Mandatory: - Any Graph Database (RDF Triple stores preferred, Neo4j other graph database querying language experience), Graph Theory, Python, Networkx, SPARQL, SQL, GraphQL - Knowledge of RDF, RDFS and OWL - Good to know: Graphx, Gephi, OpenRefine Qualification: - Graduate/Post-Graduate/MS in Computer Science/Mathematics/Statistics/Machine Learning/NLP - Strong ability to implement modules which are reusable, scalable &amp; performance efficient modules - Prior experiences with product development team &amp; designed product features/solutions is a plus Behavioral Traits: - Ability to work in a demanding environment with limited guidance - Ability to come up with working solutions for customers while innovating for ideal solutions in a time-bound manner - Think through the design and assess trade-offs related to quality, time to implement, scalability &amp; reusability of components developed - Ability to explore new tools/technologies to come up potential solutions - Strong Analytical &amp; excellent communication skills.

Bangalore

Graph Engineer - NLP + Knowledge - Consulting Firm 

Graph Engineer - NLP + Knowledge - Consulting Firm  ,Job Description for Graph Engineer - NLP + Knowledge - Consulting Firm  in GAMA India in  Bangalore for (2-3) years of experience. Apply Now!

Job Description for Graph Engineer - NLP + Knowledge - Consulting Firm  in GAMA India in  Bangalore for (2-3) years of experience. Apply Now!