• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 25th Aug 2022

Natural Language Processing Engineer responsibilities include:

Designing and developing NLP applications

Using effective text representation techniques and classification algorithms

Working experience of CRFs, BERT Transformers, Text summarization, Attention models.

Working experience with one of the language models : GPT 2, BERT, ALBERT

Training and evaluating models

Job brief

We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications.

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 techniques.

Your ultimate goal is to develop efficient self-learning NLP applications.

Responsibilities

Study and transform data science prototypes

Design NLP applications

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

Develop NLP systems according to requirements

Train the developed model and run evaluation experiments

Perform statistical analysis of results and refine models

Extend ML libraries and frameworks to apply in NLP tasks

Remain updated in the rapidly changing field of machine learning

Requirements and skills

Proven experience as an NLP Engineer or similar role

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

Ability to effectively design software architecture

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

Knowledge of Python, Java and R

Ability to write robust and testable code

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

Strong communication skills

An analytical mind with problem-solving abilities

Degree in Computer Science, Mathematics, Computational Linguistics or similar field