Data Scientist - IT

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 the 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.