NLP MANAGER
Published date: 2024/01/10
- Location: Bengaluru, Karnataka, India
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.
Requirements:
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, a 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)
Must have skill-
PyTorch, Scikit-learn, Python, Machine Learning, NLP
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.
Requirements:
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, a 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)
Must have skill-
PyTorch, Scikit-learn, Python, Machine Learning, NLP
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