Time since we first saw it
Day 42
Similar jobs usually come down between day 6 and day 70.
From 4,523 similar postings that came down. Coming down is not always a hire.
Data Scientist
Reads like a ML Engineer role: putting models into production.
Astana, Astana, Kazakhstan
Live, first seen by us 42 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingCollect, clean and pre-process data for AI projects
Implement deep learning models and algorithms in TensorFlow and PyTorch
Evaluate models and test their numerical accuracy and performance
Build tools and systems to automate deep learning training and analysis
Turn requests from industrial sector into models
From the employer’s posting
data collection, cleaning and pre-processing
implement algorithms given in pseudo-code using machine/deep learning frameworks including Tensorflow and Pytorch
model evaluation and assessment
build tools and systems to automate the training and analysis of deep learning models
collect requests from the industrial sector to create models
What you’ll bring
All qualificationsCore experience
- At least 3 years of professional experience
- Knowledge of machine learning and deep learning model development
- Good programming skills and Linux environment knowledge
- Fluency in English, Kazakh and Russian
- Higher education, preferably a Master's in Computer Science or Machine Learning
Preferred experience
- Expertise in NLP and/or computer vision
Qualification wording
No less than 3 years of professional experience.
knowledge of the development of machine learning and deep learning models
good programming skills
fluency in English, Kazakh and Russian languages.
Preferably Masters degree in Computer Science, Machine learning
expertise in NLP and/or CV is a plus
Education & alternatives
Higher-professional, preferable from the higher education institutions with English language of instruction; Preferably Masters degree in Computer Science, Machine learning or equivalent. Priority specializations:
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 24, 202642 days ago
- Recorded sightings
- 84
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Nazarbayev University is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Excel
- PyTorch
- TensorFlow
Where the posting names them
- knowledge of the development of algorithms and models of artificial intelligence; - knowledge of MS Office, Excel, PowerPoint; - knowledge of development in the Linux environment;
4) collect requests from the industrial sector to create models; 5) implement algorithms given in pseudo-code using machine/deep learning frameworks including Tensorflow and Pytorch; 6) perform necessary debugging;
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
Data Scientist performs the following duties and responsibilities:
1) data collection, cleaning and pre-processing
2) closely work/consult Faculty of NU on AI related projects;
2) implement deep-learning based models;
3) model evaluation and assessment;
4) collect requests from the industrial sector to create models;
5) implement algorithms given in pseudo-code using machine/deep learning frameworks including Tensorflow and Pytorch;
6) perform necessary debugging;
7) unit test, numerical accuracy and performance verification of model;
8) build tools and systems to automate the training and analysis of deep learning models;
9) tuning existing machine learning and deep learning models when needed;
10) timely and properly execution of tasks of the Head and the Institute’s management;
11) observe the requirements of the legislation of the Republic of Kazakhstan and the Employer`s internal documents;
12) responsible for exercising the labor and performance discipline;
13) responsible for ensuring the integrity of official documents, and prevention of the disclosure or leakage of confidential and business information, as well as information of restricted access in accordance with the legislation, Charter and internal documents of the Employer;
14) expertise in NLP and/or CV is a plus
Qualifications
Higher-professional, preferable from the higher education institutions with English language of instruction;
Preferably Masters degree in Computer Science, Machine learning or equivalent.
Priority specializations:
- Computer Science;
- Artificial Intelligence;
- Mathematics;
- Robotics or equivalent.
No less than 3 years of professional experience.
Additional Information
Required skills:
- knowledge of the development of machine learning and deep learning models;
- knowledge of Linux operating system software and related equipment;
- knowledge of machine learning;
- knowledge of the development of algorithms and models of artificial intelligence;
- knowledge of MS Office, Excel, PowerPoint;
- knowledge of development in the Linux environment;
- fluency in English, Kazakh and Russian languages.
- skills for collecting, cleaning, pre-processing data;
- good programming skills;
- expertise in NLP and/or CV;
- skills to recognize and evaluate artificial intelligence models;
- strong communication skills.
Company Description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Astana, Astana, Kazakhstan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.