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Data Scientist

Reads like a ML Engineer role: putting models into production.

Astana, Astana, Kazakhstan

Live, first seen by us 43 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 posting
  • Collect, 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 qualifications

Core 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:
Apply at Nazarbayev University

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202643 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

Time since we first saw it

Day 43

Similar jobs usually come down between day 6 and day 70.

From 4,599 similar postings that came down. Coming down is not always a hire.

Nazarbayev University is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See 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;

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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.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

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

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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.

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Location & working pattern

Astana, Astana, Kazakhstan

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