Trainee Natural Language Processing(NLP) Engineer

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Job number HzKpsh
Work Type Hybrid
Job Types Job (Fulltime)
Posted On Oct 26, 2021
Designation Trainee Natural Language Processing(NLP) Engineer
Deadline Dec 09, 2021

We’re looking for fresh graduates who are comfortable working with Machine Learning and Deep Learning as an NLP Engineer at Ekbana Solutions. Selected people will get the 3+ months traineeship program which may eventually lead to a full-time job opportunity. 


    • Analyze textual data
    • Select appropriate annotated datasets for Supervised Learning methods
    • Use effective text representations to transform natural language into useful features
    • Use NLP techniques to extract information from documents
    • Design, integrate, and deploy NLP solutions in software including web-based software. 
    • Find and implement the right algorithms and tools for NLP tasks
    • Train the developed model and run evaluation experiments
    • Develop NLP Solutions for multi-languages like English, Nepali, Japanese, etc.
    • Design and develop Predictive using machine learning / statistical techniques
    • Remain updated in the rapidly changing field of machine learning
    • Good mathematical and statistical skills. 
    • Independent and knows the value of research.
    • Knowledge of Python, understanding C++ is a plus.
    • Good Knowledge of ML, NLP algorithms-regression classification, neural networks, etc.
    • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling.
    • Understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis, etc), statistics and classification algorithms
    • Knowledge of machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)


    • Accidental and Medical Insurance
    • Breakfast, lunch, and snacks will be provided by the office
    • 5 working days (Monday to Friday)
    • Learning and friendly environment
    • Job training
    • Recreational Activities 
    • Freedom to research and upgrade your skills


    • Please avoid giving us a one-page resume
    • Please add and describe the projects that you have done, with possible GitHub links. Please give us the link to any publications that you have.
    • Please describe your role in your past jobs if you have any.

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