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NLP/Deep Learning Instructor

EPSILON TRAINING CENTER
Nasr City, Cairo
Posted 3 years ago
30Applicants for1 open position
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Job Details

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Job Description

Epsilon AI Institute is looking for a passionate, talented, and inventive NLP Instructor who Manages and delivers the course materials to trainees in an engaging thought-provoking manner

  • Conducting the NLP course that is 100% up to date, meeting the latest industry standards
  • Skills up new students who have not had prior Machine Learning/Deep Learning/NLP experience using the latest technologies and design tools
  • Tune models to the constant inflow of conversational data
  • Prototyping, building, and deploying new models
  • Data structuring and cleaning
  • Manages and delivers the course materials to trainees in an engaging thought-provoking manner in our online learning management system: Canvas
  • Optimize and be flexible to change the course to suit the needs of your Trainees and new technologies semester after semester
  • Diligently respond to Trainees needs and questions during the course schedule

Job Requirements

  • Solid understanding of deep learning techniques
  • Excellent software engineering skills (Agile methodologies, Git, continuous development, etc.)
  • Excellent programming skills (including OOP and preferably functional programming)
  • Expert level in Python including Numpy, Pandas, Scikit-learn
  • Expert level in PySpark
  • Expert level in MLlib
  • Acts as a technical mentor guiding students on a technical journey of discovery
  • working experience in data science/machine learning/Deep Learning
  • Solid machine learning foundation
  • Bachelor’s degree (or higher) in Computer Science or related field preferred
  • A minimum of 1-year experience with research/development/application of Machine Learning/NLP/Deep Learning
  • Research work, publications, or work experience in a related domain or problem space
  • Strong foundation in Python
  • Experience with common ML frameworks such as PyTorch or Tensorflow
  • Solid theoretical understanding of machine learning
  • Strong NLP and ML fundamentals (LSTMs, NER, Word Embeddings, Transformers, etc)

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