Roles and ResponsibilitiesWorking knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.Work with the following technologies: GATE, Java, Python. Handling large-scale data processing and machine learning workloads and distributed systems using cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS)
Salary: 10,00,000 - 20,00,000 P.A.
Industry:Analytics / KPO / Research
Functional AreaData Science & Analytics
Role CategoryData Science & Machine Learning
Employment Type:Full Time, Permanent
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