ASSESS is hiring a Junior Natural Language Processing NLP Engineer who’s 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 and processes.

Duties & 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, Artificial Intelligence and natural language processing

Qualifications

  • Degree in Computer Science, Mathematics, Computational Linguistics or similar field preferred with relevant experience.
  • Proven experience as an NLP Engineer or similar role

Skills & Competencies

  • 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)
  • Experience with Microsoft Azure ML Studio and NLP Applications
  • Strong communication skills
  • An analytical mind with problem-solving abilities

If you are interested, please email your resume to careers@assesstm.com.