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Natural Language Processing-Machine Learning Developer-JOB#0821 at Freyr

We are looking for a Natural Language Processing Developer to help us in creating new NLP applications and ML based automation on the text documentation, processes and methods.

NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation and modeling techniques.

Your ultimate goal is to developefficient self-learning NLP/NLU applications for real time solution, build and deploy ML automations for more efficient execution models.

1 to 5 years of experience in NLP/NLU with deep learning, Text Modeling, Topic Modeling, Text Classification, Document Classification, custom word embeddings etc and Machine Learning (ML).

Experience in Python, (Scikit-learn, pandas, numpy), NLP (text/pdf processing), Keras / Tensorflow, JSON/REST API,, Q&A maker, {REST}

Understanding of NLP techniques for text representation, Language Model, semantic extraction techniques, data structures and modeling.

Experience or Exposure in Term Frequency Technique like TF-IDF

Experience or Exposure in N-gram Language Models, Bigran, Trigram etc.

Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms.

Ability to write robust and testable code.

Experience with machine learning frameworks (like Keras or pytorch) and libraries (like scikit-learn)

Develop NL application for Text Topic Modeling and Text Classification.

Designing Automation process solutions in accordance with standard design principles and conventions.

An aptitude for problem solving, with the ability to take a logical route to the source of an error.

Design and Develop ML based automation for using open source softwares like python, R, etc.

Engineering Degree in computer science or any relevant engineering field.

Tools and Framework : Python , R , TensorFlow, Keras, skit learn, NumPy, pandas,

Primary Responsibilities

Develop NLP systems according to requirements

Develop TF-IDF Models and other Term Frequency model / Markov Model.

Study and transform data science prototypes

Design NLP applications on the text modeling

Annotate / Labeling the dataset as per ML problem statement.

Select appropriate annotated datasets for Supervised Learning methods

Use effective text representations to transform natural language into useful features

Find and implement the right algorithms and tools for NLP tasks

Train the developed model and run evaluation experiments

Perform statistical analysis of results and refine models

Evaluate the Language Model.

Extend ML libraries and frameworks to apply in NLP/NLU ML tasks

Remain updated in the rapidly changing field of machine learning

Facilitate in the integration of ML model in backend and frontend.

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