Key Responsibility Areas :
- Design and develop NLP applications according to requirements
- 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 able to Identify and implement the right algorithms and tools for NLP tasks
- Extend ML libraries and frameworks to apply in NLP tasks
Skills Required:
Key Skills - NLP, NLG, ML, DL, Python, Flask, Microservices, Ontology, Kafka, SPARQL, Jinja, NLTK, Spacy, Google NLP, Stanford SU Time, PyTorch, Keras
Desired
- Python Development Exp.- 5to 7 years
- NLP Engineer or similar role - 4 to 6 years
- Experience in application of machine learning and deep learning for NLP products or projects -3 to 5 years
- Experience in GLUE, Hugging Face, BERT, RASA NLU etc.- 1 to 2 years
- Master's Degree MUST in any stream (MS/MTech/ME)
- 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 modeling, 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
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