ISSAI - Institute of Smart Systems and Artificial Intelligence
Driver of research and innovation in the digital sphere of Kazakhstan
Driver of research and innovation in the digital sphere of Kazakhstan
Institute of Smart Systems and Artificial Intelligence (ISSAI) was founded in September 2019 to serve as the driver of research and innovation in the digital sphere of Kazakhstan with the focus on AI research. Located at the C4 Research Building of Nazarbayev University, ISSAI conducts interdisciplinary research on machine intelligence for solving real-world problems of industry and society. ISSAI aims to develop a national capacity for research in Artificial Intelligence incorporating the experience of exemplars from Asia, Europe and the United States. ISSAI provides an agile framework for research, innovation and collaboration with national and international partners in education, industry and government and contributes to the digital ecosystem of Kazakhstan in the advancement of national development goals.
15th March 2021
Deep Learning Workshop for the National Guard
16th February 2021
ISSAI participated in UNESCO webinar on “Managing AI”
25th December 2020
JSC “Samruk Kazyna” visits ISSAI lab
24 December 2020
Extensive testing and contact tracing might be more effective in suppressing COVID-19 – a new development of ISSAI scientists.
2 December 2020
1 December – ISSAI researchers presented their projects to Mr. Massimov
2 December 2020
100 videos on ISSAI YouTube channel
WiFi based localization and indoor navigation
Chest X-ray disease classification system
Speaking Faces
SF-TL54: A Thermal Facial Landmark Dataset with Visual Pairs
TFW: Annotated Thermal Faces in the Wild Dataset
Automatic brain tumor segmentation
Optimal camera placement in smart cities
COVID-19 simulator for Kazakhstan
Kazakh Speech Corpus
Kazakh text-to-speech conversion technology 2
Uzbek Speech Corpus
Multilingual Speech Recognition
Optical Tactile Sensors
Haptic Illusions
ExoMem - Human Memory Enhancement Using Artificial Intelligence
Kazakh Named Entity Recognition
Multilingual Speech Recognition for Turkic Languages
Circular Economy Indexing in Construction Industry Using Big Data and AI
AnyFace: A Data-Centric Approach For Input-Agnostic Face Detection
General Director Huseyin Atakan Varol
Executive Director Yerbol Absalyamov
Deputy Director of Product and External Affairs, Senior Data Scientist Madina Abdrakhmanova
Head of Advanced Robotics and Mechatronics laboratory Azamat Yeshmukhametov
General Manager Gibrat Kurmanov
Legal Counsel Daulet Aliyev
General HR Manager Dana Makhanova
Account manager Rinat Smirnov
Lead Data Scientist Askat Kuzdeuov
Senior Data Scientist Zhanat Makhataeva
Senior Data Scientist Saida Mussakhojayeva
Data Scientist Aspandiyar Nurimanov
Data Scientist Rustem Yeshpanov
Data Scientist Mamyrbek Parakhat
Data Scientist Rakhat Meiramov
Data Scientist Batyr Arystanbekov
Data Scientist Akylbek Maxutov
Data Scientist Nartay Aikyn
Data scientist Tomiris Rakhimzhanova
Data Scientist Ulzhan Bissarinova
Junior Data Scientist Auyeskhan Alibekov
Junior Data Scientist Vladimir Albrekht
Junior Data Scientist Aibota Sanatbyek
Junior Data Scientist Adema Sharipova
Research Assistant Galammadin Askar
Research Assistant Anuar Aryngazin
MLOps Engineer Rasul Yermagambet
Senior Computer Engineer Nurgaliyev Shakhizat
Computer Engineer Makat Tlebaliyev
Computer Engineer Zhaxylyk Tursunbayev
Grant Coordinator Gauhar Orazbekova
Budget Manager Nurgul Shymyrbaeva
Senior PR manager Aliya Tussupova
IT Product Manager Aikerim Bissarinova
IT Product manager Amina Baikenova
Software Engineer Rakhatbek Arinov
Government Relations Manager Alaidar Amirseiit
Senior External Affairs Manager Aigerim Sarsenova
Administrative Manager Madina Satybaldina
Research Assistant Darkhan Zholtayev
Research Assistant Inara Tusseyeva
Research Assistant Almubdi Mutaikhan
Research Assistant Mohammad Shoaib Babar
Research Assistant Hamad Hassan Awan
Research Assistant S. Olarewaju Olagunju
Research Assistant Gourav Moger
Research Assistant Daniil Filimonov
Data Moderator Moldir Orazalinova
Data Moderator Ainagul Akmuldina
Data Moderator Assel Kospabayeva
Data Moderator Aizhan Seipanova
Account manager Rinat Smirnov
Data Moderator Venera Spanbayeva
Data Moderator Gulim Kabidolda
Join us
The Institute for Smart Systems and Artificial Intelligence (ISSAI) was founded to provide a framework for collaboration, to develop new ideas and technologies which could have an impact on the society and economy. We believe that academic excellence and interdisciplinary collaboration fosters the professional growth of researchers, engineers and students. Join our team of experts and pave the way to innovation!
Institute of Smart Systems and Artificial Intelligence (ISSAI) was founded in September 2019 to serve as the driver of research and innovation in the digital sphere of Kazakhstan with the focus on AI research.
ISSAI aims to develop a national capacity for research in Artificial Intelligence incorporating the experience of exemplars from Asia, Europe and the United States.
ISSAI provides an agile framework for research, innovation and collaboration with national and international partners in education, industry and government and contributes to the digital ecosystem of Kazakhstan in the advancement of national development goals.
Responsibility:
- Design, develop, and maintain scalable back-end services and APIs to serve
machine learning models
- Integrate machine learning models into production environments, ensuring
efficient performance and scalability
- Collaborate with data scientists and computer engineers to understand the
models; requirements and deploy them reliably
- Monitor and troubleshoot production ML systems, ensuring high availability and
performance
- Design, manage, and optimize database systems (SQL) for model data storage,
transactions, and queries
- Work with databases, message queues, and other infrastructure components to
support real-time and batch inference
- Integrate and maintain secure authorization systems and payment processing
service within the platform
- Write clean, maintainable code, following industry best practices for software
engineering
Required skills and experience
- 3+ years of experience in back-end development (Python)
- Strong understanding of RESTful APIs and server-side technologies.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with machine learning frameworks (PyTorch) and their
deployment in production.
- Database management experience and knowledge of best practices in
data storage, retrieval, and optimization.
- Experience with payment service integration and authorization
mechanisms.
- Problem-solving skills with an ability to diagnose and fix complex issues
in distributed systems.
- Familiarity with version control (Git) and CI/CD pipelines for automated
testing and deployment.
- Experience in API development using FastAPI for machine learning
services.
Preferred Qualifications
- Familiarity with scaling ML models for high traffic environments.
We invite undergraduate and graduate students from diverse academic backgrounds to conduct internships at the Institute of Smart Systems and Artificial Intelligence. An intern will work collaboratively with our data scientists and post-doctoral researchers on ISSAI projects, and gain first-hand experience with state-of-the art computational facilities. Internships can be either on a paid or unpaid (potentially credit-bearing) basis, depending on the educational level and skills of the applicants. The average duration of an internship is six to eight weeks; the minimum duration of an internship is one month. Interested candidates should apply by sending their intended period of internship, resume, transcript and one paragraph describing their skills and research interests to issai@nu.edu.kz
We welcome individuals with backgrounds in Computer Science, Data Science, Applied Mathematics, Robotics or related fields to join ISSAI as Visiting Researchers. A Visiting Researcher will have the opportunity to work on cutting-edge projects, co-author impactful publications, gain experience in Data Science and Artificial Intelligence, learn how to use advanced AI servers, as well as enjoy the vibrant academic environment of Nazarbayev University. The position is compensated based on the highest academic degree, and the minimum duration of stay is three months. Interested candidates should apply by sending their curriculum vitae, transcripts, and a cover letter highlighting their research interests and intended period of stay to issai@nu.edu.kz
