Find JD-Responsibilities Ability to work in a fast-paced environment in an iterative manner Understand the business objectives; design and deploy scalable ML models/ NLP applications tomeet those objective Research and implement the right algorithms and tools for ML/ NLP tasks Using advanced NLP, ML, and text analytics, you will develop applications that will extract businessinsights by analyzing a large amount of unstructured text information, identifying patterns, and byconnecting the events (e.g., NLP, Machine Learning, Neural Nets, Logistic Regression, andClustering), build knowledge graphs and generate actionable insights Work with development teams to integrate and transform these models into production quality modelso Train, test and deploy models in the cloud (GCP, AWS).o Basic logical pseudo code writingo Work with the engineering team to deploy models in production & validate theo modelsQualifications Strong understanding of linguistic concepts like Part of Speech, Name Entity Recognition, Dependency Parsing, Parsing, Shallow Parsing and so on Hands on with R and Python and Python related frameworks (Spacy, Core NLP, Gensim, Deep Pavlov, pytorch, Tensorflow, keras, huggingface) Experience in building and deploying BERT-family models, Transformer architecture, GPT-3, LSTMs, CRFs, LDA, Distributed model training, Model diagnostics and error analysis etc. AWS / GCP Experience is a plusDesired Qualifications Graduate/Post-Graduate/ in Computer Science, Mathematics, Machine Learning,NLP, or similar field 8+ years of hands-on experience in building NLP systems from scratch usingvarious NLP frameworks/tool