As a Data Scientist NLP & ML Expert, you will be working in a fast-paced environment which needs a mindset of a startup and an entrepreneur that is not hesitant to constantly shift gears, test and learn. You will be part of the company Center of Excellence (CoE) in Data Science & AI and you will be working with stakeholders by Agile and Design Thinking Methodologies, innovating and improving ATI industry with Data Science AI Technology. Together with the CoE you will deliver everything from state-of-the-art solutions to quicker value proving solutions

Roles and Responsibilities

• Build and implement advanced machine learning models.
• Research, develop and evaluate advanced text speech processing algorithms and implementations.
• Strong academic and/or industrial exposure to NLP of 2+ years.
• Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction and conversational bots design potentially with both traditional & Deep Learning Techniques.
• In depth exposure to some of the Tools/Techniques: spaCy, Nltk, Gensim, CoreNLP, NLU, NLG tools etc.,
• Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects
• Proficiency in scraping data from an external source and come up architectures to store and organize the information for insight generation
• Experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable
• Contributions to open source software projects is an added advantage
• Analyze and model structured data using advanced statistical methods and implement algorithms
• Experience and tenacity to go beyond available tools/technique to design solutions for product requirements

Desired Candidate Profile

• At least 2 years' experience in designing and developing enterprise-scale NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
• Experience in setting up supervised & unsupervised learning Client/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
• Experience in text classification
• Hand on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
• Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
• Knowledge of Text Analytics with a strong understanding of Client & NLP algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics
• Deep knowledge of some of the popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O etc
• At least 2 years' experience building Machine Learning & NLP solutions over open source platforms such as SciKit-Learn,Tensorflow, SparkML, Torch, Caffe, H2O
• Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP.
• Excellent knowledge of natural language processing (NLP) techniques in at least one of the following areas: Machine Translation, Question Answering, Information Relation extraction, NER, Sentiment Analysis, Feature Modelling, etc