Responsibilities:

• Build end to end Solutions that identify sentiment, intent, and other features from unstructured text data particularly from chat and call transcript.
• Design NLP architecture for bots and automation applications.
• Find and implement the right algorithms and tools for NLP applications.
• Train, Test and Deploy models in the cloud (AWS/Azure/GCP).
• Basic logical pseudo code writing.
• Build models related to text, image and audio for a variety of problems.
• Work with the engineering team to deploy models in production & validate the models.

Required skills:

• Experience of design, building and deployment of NLP models in industry.
• Proficient in Python & SQL.
• Experience in NLP tools like Hugging Face, Gensim, spaCy, Stanford NLP, BERT/ELMO.
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling.
• Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis, etc), statistics and classification algorithms.
• Experience on NLP, NLU, NLG is a Big Plus. ▪ Hands on with Deep learning frameworks like Keras, Pytorch, Tensorflow. ▪ Knowledge of Python packages and tools, particularly those developed for NLP techniques.
• Experience with text, image analytics, NLP, Entity Extraction, Text Mining Algorithms. ▪ Must be a proficient python programmer. 

Experience:

Min. 4 years of Work experience as a Data Scientist.

Min. 2 year of Work experience in Natural Language Processing.

Desired Candidate Profile:

▪ Immediate joining

▪ Excellent English communication and presentation skills, both verbal and written

▪ Charismatic, competitive and enthusiastic personality with negotiation skills ▪ Excellent interpersonal and customer-facing skills