Data Scientist

Year Hyderabad, Telangana, India

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Goal of this role 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

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

Must have Skill Set: ML algorithms, AutoML platforms, MLOps

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