R&D Engineer - Natural Language Processing
Mobildev İletişim Hizmetleri San. Ve Tic. A.Ş.
02.06.2024
İstanbul(Asya) / Türkiye
Tam Zamanlı
İş Yerinde
Deneyimsiz / Deneyimli
İlan Açıklaması
ABOUT MOBILDEV
Mobildev is one of the pioneering Smart Marketing Solutions providers of Turkey with more than 20 years of experience. Located in Kartal / Istanbul, the company is well established in Information and Communication Technology solutions including Outbound Marketing Solutions such as SMS Marketing, Email Marketing, IVR Marketing as well as end-to-end Inbound Marketing Solutions such as Survey Management and Live Chat Modules.
During the last decade, Mobildev has been expanded to provide leading edge business, Permission Management due to ETK, GDPR solutions due to KVKK, and big data solutions driven by its in-house R&D department and ever-growing software development team.
The company has long been committed to providing creative and value-added information technology solutions and support to institutions and enterprises in various industries.
Candidates will take part in approved KOSGEB and TUBITAK projects. Within the scope of the projects, academic consultancy is received from the Middle East Technical University and Boğaziçi University.
The opportunity to work remotely will be provided.
QUALIFICATIONS
- Willing to work on deep neural networks, transfer learning, natural language processing.
- Experience programming in C/C++ and/or Python.
- Building machine learning models to deliver scalable solutions to business problems.
- Familiar with Linux environments
- Ability to apply existing methods as well as invent new algorithms to solve problems.
- The ability to quickly learn new technologies and successfully implement them is essential.
- Work independently and take matters into your own hands.
- Strong linguistic background and analytical mindset.
JOB DESCRIPTION
- In this role, you will work on improving the readability of Turkish texts using NLP methods,
- Implementing named entity recognition methods to Turkish texts and improving the methods
- Applying topic detection methods to Turkish texts and improving the methods,
- Classifying documents in Turkish.
Working Opportunities
- On-site
- Hybrid
- Remote
Please visit our company web site to read the employee candidate information.