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 roleUnderstanding of NLP techniques for text representation semantic extraction techniques data structures and modelingAbility to effectively design software architectureDeep understanding of text representation techniques (such as n-grams bag of words sentiment analysis etc) statistics and classification algorithmsKnowledge of Python Java and RAbility to write robust and testable codeExperience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Strong communication skillsAn analytical mind with problem-solving abilitiesDegree in Computer Science Mathematics Computational Linguistics or similar fieldKey Skills
Active Directory,Data Entry,Clearance,LAN,Database Development,Electronic Discovery,Peripheral Equipment,Windows,QC,Software Managements,Data Files,RAN,Backup,Data Processing,Setup
Employment Type : Full Time
Experience : years
Vacancy : 1