NLP Engineer (Remote)
Seven N Half Verified employer
Actively hiring · Posted 1d ago · JEV26119DDBB63AD7
Job description
Identify and integrate new datasets that can be leveraged through our product capabilities and work closelywith the engineering team to strategize and execute the development of data products● Execute analytical experiments methodically to help solve various problems and make a true impact acrossvarious domains and industriesNLP ENGINEER at KARZA TECHNOLOGIES● Identify relevant data sources and sets to mine for client business needs, and collect large structured andunstructured datasets and variables● Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improvemodels, and clean and validate data for uniformity and accuracy● Analyze data for trends and patterns, and Interpret data with a clear objective in mind● Implement analytical models into production by collaborating with software developers and machinelearning engineers● Communicate analytic solutions to stakeholders and implement improvements as needed to operationalsystemsWhat you need to work with us:● Good understanding of data structures, algorithms, and the first principles of mathematics.● Proficient in Python and using packages like NLTK, Numpy, Pandas● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models● Mathematical intuition of ML and DL algorithms● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statisticalanalyses● Should be comfortable in going through open-source code and reading research papers.● Should be curious or thoughtful enough to answer the “WHYs” pertaining to the most cherishedobservations, thumb rules, and ideas across the data science community.Qualification and Experience Required:● 1 - 4 years of relevant experience● Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology
Key skills
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