Details:

• Design and develop NLP applications according to requirements shared by stakeholders
• Should be able to benchmark the NLP frameworks and build niche solutions
• Identify new opportunities to apply machine learning to different parts of the product
• should be familiar about deep learning for NLP
• should be convergent on the transfer learning applications
• Identify and implement the right algorithms and tools for NLP tasks
• Extend ML libraries and frameworks to apply in NLP tasks
• Use effective text representation techniques to develop useful features
• Support for Integrations of the solutions into the product

Min. Qualification:

• Should have a master’s degree in any stream (MS/MTech/ME)

Skills Required:

NLP, NLG, ML, DL, Python

Roles:

Key Skills – NLP, NLG, ML, DL, Python, Flask, Microservices, Ontology, Kafka, SPARQL, Jinja, NLTK, Spacy, Google NLP, Stanford SU Time, PyTorch, Keras   

• 5 to 7 + years of experience as a Python developer
• 4 to 6 years of experience as NLP Engineer or similar role
• 3 to 5 years of experience in application of machine learning and deep learning for NLP products or projects
• 1 to 2 years of experience in GLUE, Hugging Face, BERT, RASA NLU etc.
• Should have a master’s degree in any stream (MS/MTech/ME)
• Deep understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling
• Experience in conducting research and conversion of underlying research methodologies into software solutions
• Strong experience in creation, management and consumption of REST APIs leveraging Swagger, Postman, API Gateways etc;
• Ability to effectively design software architecture
• Strong knowledge in data modelling, querying, performance tuning of any big-data stores (MongoDB, Elasticsearch, Redis et;) and /or any RDBMS (Oracle, PostgreSQL, MySQL etc;)
• Knowledge in Machine Learning, Deep Learning, NLG, NLP tools and frameworks
• Knowledge in python libraries like Pandas, Numpy, Scikit, TensorFlow, Keras, NLTK, Spacy