NLP - Data Scientist - Immediate
Responsibilities:
- 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
Skills Required:
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
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