RPA PYTHON DJANGO
EXPIRED
As a member of Marsview’s NLP team, you will be part of the team building cutting-age AI that semantically extracts relevant information from huge text corpuses, as well as build conversational agents.
• Interact with clients, third-party vendors, and internal project stakeholders as required to understand business objectives and requirements.
• Develop Python based microservices in new-age cloud environments as an active part of a small multi-disciplinary team
• Research and evaluate new/different approaches to NLP problems
• Produce deliverable results and take them from development to production in collaboration with our DevOps engineers, keeping in mind scalability.
• A self-starter, independent-thinker, and creative person with the ambition and passion for NLP.
You must have:
• Expertise in Natural Language Processing (NLP), Natural Language Understanding (NLU), Natural Language Generation (NLG), Knowledge Base creation, quering and management
• Strong background in developing Question Answering systems and Multi-Domain Goal-Oriented Dialogue systems
• Expertise in Graph-Based Knowledge Base Construction. Some knowledge of graph databases like Neo4j.
• Expertise in applying Sequential Neural Networks (LSTM, GRU) for natural language generation.
• Strong knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.)
• Excellent communication skills
• Knowledge in relational databases (SQL) and non-relational (MongoDB)
• Proficient in tensorflow, or pytorch (and its required serving systems for production)
• MSc./PhD in Computer Science, Computational Linguistics or related fields from top tier university (strongly preferred)
• Knowledge and experience in distributed databases is a plus.
Great to have:
• Familiarity with state of the art Chatbot APIs and technologies
• Experience with NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Mallet, etc.
• Experience with open-source ML/DL/math toolkits such as scikit-learn, WEKA, MLlib, Theano, TensorFlow, NumPy, etc.
• Experience with noisy and/or unstructured textual data
• Published work in academic conferences/journals or industry circles (is a plus)
All the best!!
