FabSkill
Data Science internship (NLP)
78 Application(s)
77 Rejected
Fabskill:
- We are Fabskill, a Tunisian startup working on Artificial Intelligence applied to recruitment.
- We’re building the future of recruitment.
- we are tackling the Tunisian market and plan to conquer the world
- To do that, we use the latest technologies in machine learning, natural language processing, Automated Video interviews, and Recruitment Chatbots .. in order to make sourcing, tracking, assessing, and hiring talents EASY and FAST.
- Our challenge is to offer these cutting-edge technologies through the most simple, efficient, and well-designed product.
Primary Responsibilities:
- Understand workflows and requirements to identify improvement possibilities through AI tools.
- Prepare and clean data for modeling
- Write clear, maintainable, and tested code.
- work on NLP projects
Basic Qualifications:
- Prior experience with Python
- some experience with NLP
- good level in mathematics
- Willingness to learn and improve

FabSkill
FabSkill est une plate-forme web offrant un processus de recrutement innovant basé sur l'intelligence artificielle ,l’entretien vidéo et le rating collaboratif des candidats.
Website:
https://fabskill.comLocalisation:
Tunisia, TunisStreet:
FabSkill 6 Boulevard de l'Environnement, Tunis 2045Postal code:
1004Discover the salary expectations of the candidates for the offer Data Science internship (NLP)
Middle range: | 1300 - 1600 TND |
Average salary: | 1450 TND |
Lowest salary: | 1300 TND |
Highest salary: | 1600 TND |
4.23 / 5
Requirements
Experience:
No experienceDiplomas:
Vocational certificate obtained 2 years after the 8th grade Two-year technical degree Diploma of vocational technician High-School Diploma Three-year university degree Associate’s degree Bachelor's degree Master's degree Engineer degree Doctorate degree Doctor Of Medicine (MD.) Doctor of Veterinary Medicine (DVM) Undergraduate courses to prepare nationwide competitive exams OtherLanguages:
English
French
Estimations based on the salary expectations of the candidates for this offer