of April 20, 2026 No. 209/Tax Code
About modification and amendments in the order of the Deputy prime minister of artificial intelligence and digital development of the Republic of Kazakhstan of November 10, 2025 No. 569/Tax Code "About Approval of Professional Standards in the field of Information Technologies"
1. Bring in the order of the Deputy prime minister of artificial intelligence and digital development of the Republic of Kazakhstan of November 10, 2025 No. 569/Tax Code "About Approval of Professional Standards in the field of Information Technologies" the following changes and amendments:
state Item 1 in the following edition:
"1. Approve:
1) the professional standard "Architects of the Software" according to appendix 1 to this order;
2) the professional standard "Creation and Information Resource Management" according to appendix 2 to this order;
3) the professional standard "Development of Graphical and Multimedia Design" according to appendix 3 to this order;
4) the professional standard "Testing of the Software" according to appendix 4 to this order;
5) the professional standard "Administration of Databases" according to appendix 5 to this order;
6) the professional standard "Administration of Operating Systems" according to appendix 6 to this order;
7) the professional standard "Development of Technical Documentation" according to appendix 7 to this order;
8) the professional standard "Administration and Maintenance of Web" according to appendix 8 to this order.
9) professional standard: "Applications programming of artificial intelligence" according to appendix 9 to this order;
10) the professional standard "Development of IoT of Systems" according to appendix 10 to this order;
11) the professional standard "Development of the Parallel and Distributed Programs" according to appendix 11 to this order;
12) the professional standard "Support of the Software" according to appendix 12 to this order;
13) the professional standard "Sports Programming Coach" according to appendix 13 to this order;
14) professional standard: "Cloud technologies" according to appendix 14 to this order;
15) professional standard: "System and network administration" according to appendix 15 to this order;
16) professional standard: "Development of systems of processing and storage of big data" according to appendix 16 to this order;
17) professional standard: "Infrastructure of computer systems" according to appendix 17 to this order;
18) professional standard: "Development of the software" according to appendix 18 to this order;
19) professional standard: "Administration of servers" according to appendix 19 to this order;
20) professional standard: "Servicing and program maintenance of robots" according to appendix 20 to this order;
21) professional standard: "User support of IT" according to appendix 21 to this order;
22) professional standard: "Development of animation movies, video games and interactive 3D-applications" according to appendix 22 to this order.";
add with appendices 9, of 10, of 11, of 12, of 13, of 14, of 15, of 16, of 17, of 18, of 19, of 20, 21 and 22 according to appendices 1, of 2, of 3, of 4, of 5, of 6, of 7, of 8, of 9, of 10, of 11, of 12, 13 and 14 to this order.
2. To provide to committee of digital assets and disruptive technologies of the Ministry of artificial intelligence and digital development of the Republic of Kazakhstan in the procedure established by the legislation of the Republic of Kazakhstan:
1) the direction of this order within five working days from the date of its signing in the state and Russian languages in the Republican state company on the right of economic maintaining "Institute of the legislation and legal information of the Republic of Kazakhstan" the Ministries of Justice of the Republic of Kazakhstan for official publication and inclusion in Reference control bank of regulatory legal acts of the Republic of Kazakhstan;
2) placement of this order on Internet resource of the Ministry of artificial intelligence and digital development of the Republic of Kazakhstan after its official publication.
3. To impose control of execution of this order on the supervising vice-minister of artificial intelligence and digital development of the Republic of Kazakhstan.
4. This order becomes effective after ten calendar days after day of its first official publication.
The deputy Premier-Ministra is the Minister of artificial intelligence and digital development of the Republic of Kazakhstan
Zh. Madiyev
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It is approved Ministry of Labour and Social Protection of the population of the Republic of Kazakhstan |
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Appendix 1
to the Order of the Deputy prime minister – the Minister of artificial intelligence and digital development of the Republic of Kazakhstan of April 20, 2026 No. 209/Tax Code
Appendix 9
to the Order of the Deputy prime minister – the Minister of artificial intelligence and digital development of the Republic of Kazakhstan of November 10, 2025 No. 569/Tax Code
1. Scope of the professional standard: The professional standard "Applications Programming of Artificial Intelligence" is developed according to article 5 of the Law of the Republic of Kazakhstan "About professional qualifications", establishes requirements to forming of educational programs, including personnel trainings at the companies, recognitions of professional qualification of workers and graduates of the organizations of education and solutions of wide range of tasks in the field of personnel management in the organizations and at the companies.
2. In this professional standard the following terms and determinations are applied:
1) the Information System (IS) – the organizational arranged set of the information and communication technologies, service personnel and technical documentation realizing certain technological actions by means of information exchange and intended for the solution of specific functional objectives.
2) Information technology (IT, IT) is the process using set of means and methods of collection, processing and data transmission for receipt of information of new quality on condition of object, process or the phenomenon. Information technologies (IT, from English Information technology, IT) is class of the spheres of activity relating to technologies of management and processing of huge flow of information using computer facilities.
3) Artificial intelligence (AI; English artificial intelligence, AI) – property of intellectual systems to perform creative functions which traditionally are considered as prerogative of the person; science and technology of creation of intelligent machines, especially intellectual computer programs.
4) IT infrastructure is the complex structure combining all information technologies and resources used by the specific organization or the company. Information and technological infrastructure turns on all computers, established ON, communication systems, information centers, networks and databases.
5) Maintenance of IS – the ensuring use of IS put into commercial operation according to its appointment including actions for carrying out adjustment, modification and elimination of defects of the software without carrying out upgrade and implementation of additional functional requirements and on condition of preserving its integrity.
6) Architecture of information system – the concept determining model, structure, the carried-out functions and interrelation of components of information system.
7) the Database (D) – data set, organized according to the conceptual structure describing characteristics of these data, and also interrelations between their objects.
8) The knowledge base (knowledge base) – Set of the software providing search, storage, transformation and record in computer memory of difficult structured information units (knowledge).
9) Data Mining (English production of data) is process of detection in crude data of knowledge earlier unknown, uncommon, practically useful and available to interpretation necessary for decision making in different spheres of human activities.
10) the Software – set of programs, program codes, and also software products with the technical documentation necessary for their operation.
11) the Program interface – system of the unified bonds intended for exchange of information between components of the computing system setting set of necessary procedures, their parameters and methods of the address.
12) the Software product – the independent program or part of the software which is goods which irrespective of her developers can be used in the provided purposes according to the system requirements established by technical documentation.
13) Ontoinzhener or knowledge engineer (English knowledge engineer; synonyms: the knowledge engineer, когнитолог, AI specialist) – the artificial intelligence specialist designing and creating expert system. Usually knowledge engineer acts in mediator role between the expert and the knowledge base.
14) Expert system (ES, English expert system) – the computer system capable to partially replace the specialist expert in permission of problem situation.
15) Redesign – modification of graphical and/or structurally functional components of already existing website or software product.
16) the Graphical interface of the user (Graphical User Interface - GUI) – certain program the giving opportunity to use elements of the user interface in the form of graphical objects.
17) Graphical design – visual communication by means of different means - illustrations, typography, animation, digital media.
18) Interactive design – representation of man-machine interaction.
19) the design (User Centered Design) Oriented to the user – provides combination of ergonomic, esthetic, art requirements to system.
20) the User Interface (UI) – elements of the interface of system which are used by the user in operating time in system (the menu, buttons, dialog boxes) in the form of objects in which color scale, the size, style and other graphical opportunities is considered.
21) Systems of automation of development of programs (CASE – means) – tool kit and methods of program engineering for designing of the software which helps to provide high quality of programs, lack of mistakes and simplicity in servicing of software products.
3. In this professional standard the following reducings are applied:
1) ON – the software;
2) MSKO – International standard classification of education;
3) UI – user interface;
4) TCP/IP – Transmission Control Protocol/Internet Protocol;
5) VR – virtual reality;
6) OOP – Object-oriented programming.
4. Name of the professional standard: Applications programming of artificial intelligence.
5. Code of the professional standard: J068.
6. Instruction of section, the Section, group, class and subclass agrees OKED:
J Information and communication.
61 Telecommunications.
61.9 Other activities in the field of telecommunications.
61.90 Other activities in the field of telecommunications.
61.90.9 The other activities in the field of telecommunications which are not included in other groups.
7. Short description of the professional standard: Application of methods of artificial intelligence in the equipment, robotics and information science for development of programs which imitate intelligence, including thinking models, the cognitive and based on knowledge systems, the problem resolution and decision making. Integration of the structured knowledge into computer systems (knowledge bases) to solve the complex problems which are usually requiring the high level of human experience or methods of artificial intelligence.
8. List of cards of professions:
1) the artificial intelligence Engineer - the 6th ORK level;
2) the artificial intelligence Engineer - the 7th ORK level;
3) the artificial intelligence Specialist - the 6th ORK level;
4) the artificial intelligence Specialist - the 7th ORK level.
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9. Profession card "The artificial intelligence engineer": | |||
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Group code: |
2519-9 | ||
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Code of the name of occupation: |
2519-9-001 | ||
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Name of profession: |
Artificial intelligence engineer | ||
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Skill level on the ORK: |
6 | ||
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qualification subtotal on the ORK: |
|||
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Skill level on ETKC, KC and other standard qualification characteristics: |
|||
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Level of professional education: |
Education level: the higher education (bachelor degree, specialist programme, internship) |
Specialty: Information and communication technologies |
Qualification: - |
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Requirements to work experience: |
At least 3 years of work in the field of development of the software. | ||
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Communication with informal and informalny education: |
Course preparation | ||
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Other possible names of profession: |
|||
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Main objective of activities: |
Designing, development and deployment of systems of artificial intelligence | ||
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Description of labor functions | |||
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List of labor functions: |
Obligatory labor functions: |
1. Realization of systems of artificial intelligence 2. Trial operation of systems of artificial intelligence and its implementation 3. Monitoring and optimization of AI systems | |
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Additional labor functions: |
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Labor function 1: Realization of systems of artificial intelligence |
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Skill 1: Project development of intellectual system |
Abilities: 1. Develop, approve and approve the specification on creation of systems of artificial intelligence 2. Carry out extraction of knowledge (i.e. obtaining by the engineer on knowledge of the most complete of possible ideas of subject domain and decision making methods in it). 3. Develop documentation on system of artificial intelligence and its part. 4. Prepare analytical reports | ||
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Knowledge: 1. Device and functioning of modern systems of artificial intelligence 2. Theoretical bases of designing of systems of artificial intelligence 3. Modeling of indistinct sets, fuzzy logic | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Program realization of intellectual system |
Abilities: 1. Use the chosen programming environment and means of database management system and knowledge. 2. Use possibilities of the available technical and/or program architecture | ||
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Knowledge: 1. Traditional programming languages (C ++, Java, Python, etc.) 2. The special programming languages oriented to processing of symbolical information (LISP, SMALLTALK, REFAL) 3. Languages of logical programming (Prolog) 4. Languages of representation of knowledge (OPS 5, KRL, FRL) 5. The integrated program circles (KE, ARTS, GURU, G 2) 6. Covers of intellectual and expert systems (BUILD, EMYCIN, EXSYS Professional, the EXPERT) which allow to create applied intellectual systems, without resorting to programming 7. Methodologies of development of the software | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 3: Analysis of subject and problem area |
Abilities: 1. Create requirements of the customer to systems of artificial intelligence 2. Carry out identification of problem i.e. determine: necessary resources (time, people, equipment, etc.); sources of knowledge (books, orders, state standard specifications, experts, etc.); the available similar intellectual systems; purposes (training, management, diagnostics, etc.); classes of solvable tasks, etc. 3. Develop optimal solutions of requirements of the customer at the level of the concept of the created system (structure, functions, program and technical platform, the modes) 4. Develop alternative options of system concept, carry out their analysis and the choice of the best concept 5. Carry out assessment and reasons for recommended decisions 6. Analyze business requirements | ||
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Knowledge: 1. Tools and methods of detection of requirements 2. Technologies of interpersonal and group communication in business interaction, fundamentals of conflictology. 3. Device and functioning of modern intellectual systems 4. Rules of business correspondence | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 2: Trial operation of systems of artificial intelligence and its implementation |
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Skill 1: Implementation and maintenance of systems of artificial intelligence |
Abilities: 1. Carry out preparation of object of automation for input of systems of artificial intelligence to action 2. Carry out training of personnel for work with system of artificial intelligence 3. Carry out testing of systems of artificial intelligence 4. Hold consultations of users on the implemented system of artificial intelligence 5. Eliminate the found faults and errors 6. Adjust and supplement knowledge bases | ||
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Knowledge: 1. Main tools of artificial intelligence 2. Main scopes of systems of artificial intelligence 3. Techniques of testing of systems of artificial intelligence 4. Bases of work with databases | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Testing of systems of artificial intelligence |
Abilities: 1. Hold testing of convenience and adequacy of interfaces of input-output 2. Perform efficiency of strategy of management (procedure for search, use of indistinct conclusion, etc.) 3. Carry out quality check of test examples 4. Perform knowledge base correctness (completeness and consistency of rules) | ||
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Knowledge: 1. Methods of the automatic and automated check of operability of the software 2. Main types of diagnostic data and methods of their representation 3. Methods of creation and documentation of control examples and test data sets 4. Rules, algorithms and technologies of creation of test data sets 5. Requirements to structure and formats of storage of test data sets | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 3: Monitoring and optimization of AI systems |
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Skill 1: Productivity analysis |
Abilities: 1. Monitor drift of data and concepts 2. Estimate system business metrics 3. Hold A/B testing | ||
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Knowledge: 1. Metrics of quality evaluation of models 2. Principles of MLOps 3. Instruments of monitoring | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Requirements to personal competences: |
Responsibility Analytical thinking Critical analysis Organization Ability to solve non-standard problems | ||
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List of technical regulations and national standards: |
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Communication with other professions within the ORK: |
ORK level: |
Name of profession: | |
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6 |
Artificial intelligence specialist | ||
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7 |
Artificial intelligence specialist | ||
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10. Profession card "The artificial intelligence engineer": | |||
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Group code: |
2519-9 | ||
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Code of the name of occupation: |
2519-9-001 | ||
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Name of profession: |
Artificial intelligence engineer | ||
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Skill level on the ORK: |
7 | ||
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qualification subtotal on the ORK: |
|||
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Skill level on ETKC, KC and other standard qualification characteristics: |
|||
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Level of professional education: |
Education level: postgraduate education (magistracy, residency) |
Specialty: Information and communication technologies |
Qualification: - |
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Education level: the higher education (bachelor degree, specialist programme, internship) |
Specialty: - |
Qualification: - | |
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Requirements to work experience: |
At least 5 years of work in the field of development of the software. | ||
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Communication with informal and informalny education: |
Course preparation | ||
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Other possible names of profession: |
|||
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Main objective of activities: |
Management of development and deployment of complex systems of artificial intelligence | ||
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Description of labor functions | |||
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List of labor functions: |
Obligatory labor functions: |
1. Realization of systems of artificial intelligence 2. Trial operation of systems of artificial intelligence and its implementation 3. Project management of AI 4. Research activities | |
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Additional labor functions: |
|||
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Labor function 1: Realization of systems of artificial intelligence |
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Skill 1: Project development of intellectual system |
Abilities: 1. Apply the principles of creation of architecture of systems of artificial intelligence and types of architecture of systems of artificial intelligence 2. Apply methodologies and design tools of systems of artificial intelligence 3. Apply methods and design tools of knowledge bases 4. Apply methods and design tools of interfaces 5. Apply methodology of functional standardization to open systems 6. Interact with divisions of the organization within design process of appendices, structure of the database, program interfaces 7. Apply normative and technical documents (standards and regulations) on process of development of architecture of intellectual system | ||
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Knowledge: 1. Rules of editing scientific and technical documentation 2. Normative and technical documents (standards and regulations) determining requirements to project and technical documentation 3. Methods of acceptance of management decisions. 4. Basic principles and personnel management methods 5. Principles of creation of architecture of systems of artificial intelligence 6. Methodologies and design tools of systems of artificial intelligence 7. Methods and design tools of knowledge bases 8. Methods and design tools of interfaces 9. Methodology of functional standardization for open systems | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Program realization of intellectual system |
Abilities: 1. Apply methods and means of planning and control (monitoring) of execution of plans 2. Apply normative and technical documents (standards and regulations), the best world practices of process control of development of intellectual systems 3. Constitute plans of process of development of systems of artificial intelligence 4. Estimate quality of the plan of development of systems of artificial intelligence (resources, terms, risks) 5. Watch execution of plans of development of systems of artificial intelligence 6. Adjust the plan of development of systems of artificial intelligence | ||
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Knowledge: 1. Methods and means of planning and control (monitoring) of execution of plans 2. Quality evaluation methods of the plan of development of systems of artificial intelligence (resources, terms, risks) 3. Basic principles and personnel management methods 4. Normative and technical documents (standards and regulations), the best world practices of process control of development of systems of artificial intelligence | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 2: Trial operation of systems of artificial intelligence and its implementation |
|||
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Skill 1: Testing of systems of artificial intelligence |
Abilities: 1. Make preparation of test data sets 2. Apply methods and means of check of operability of systems of artificial intelligence 3. Interpret data of magazines of messages, protocols 4. Use possibilities of the available technical and/or program architecture of systems of artificial intelligence 5. Apply collective development environment of the software and the control system of versions | ||
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Knowledge: 1. The regulating documents determining requirements to check of operability of systems of artificial intelligence 2. Basic principles of debugging of systems of artificial intelligence 3. Main types of diagnostic data and methods of their representation 4. Methods of preparation of test data sets 5. Methods and means of check of operability of systems of artificial intelligence | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 3:upravleniye by the AI projects |
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Skill 1: Strategic planning |
Abilities: 1. Develop road maps of implementation of AI technologies 2. Estimate cost efficiency of AI projects 3. Create technical vision of development of the AI direction | ||
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Knowledge: 1. Methods of strategic planning 2. Principles of portfolio management of projects 3. AI efficiency evaluation business metrics | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Management of team |
Abilities: 1. Form teams of AI developers 2. Distribute tasks and control their accomplishment 3. Carry out code-revyyu and architectural ревью | ||
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Knowledge: 1. Methods of management of IT projects 2. Principles of Agile/Scrum 3. Practicians of mentoring and coaching | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 4: Research activities |
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Skill 1: Research of the AI new methods |
Abilities: 1. Analyze modern scientific publications 2. Make experiments with new architecture of neuronets 3. Validirovat new approaches on real data | ||
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Knowledge: 1. The last achievements in the field of AI 2. Methods of scientific research 3. Principles of scientifically based development | |||
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Possibility of recognition of skill: |
it is not recommended | ||
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Requirements to personal competences: |
Responsibility Analytical thinking Critical analysis Organization Ability to solve non-standard problems | ||
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List of technical regulations and national standards: |
|||
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Communication with other professions within the ORK: |
ORK level: |
Name of profession: | |
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6 |
Artificial intelligence specialist | ||
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7 |
Artificial intelligence specialist | ||
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11. Profession card "The artificial intelligence specialist": | |||
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Group code: |
2519-9 | ||
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Code of the name of occupation: |
2519-9-003 | ||
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Name of profession: |
Artificial intelligence specialist | ||
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Skill level on the ORK: |
6 | ||
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qualification subtotal on the ORK: |
|||
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Skill level on ETKC, KC and other standard qualification characteristics: |
|||
|
Level of professional education: |
Education level: the higher education (bachelor degree, specialist programme, internship) |
Specialty: Information and communication technologies |
Qualification: - |
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Requirements to work experience: |
At least 3 years of work in the field of development of the software. | ||
|
Communication with informal and informalny education: |
Course preparation | ||
|
Other possible names of profession: |
|||
|
Main objective of activities: |
Design and create systems of artificial intelligence – expert systems | ||
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Description of labor functions | |||
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List of labor functions: |
Obligatory labor functions: |
1. Designing of expert systems 2. Organization of processes of development of expert systems 3. Management of processes of development of expert systems | |
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Additional labor functions: |
|||
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Labor function 1: Designing of expert systems |
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Skill 1: Extraction of knowledge from data |
Abilities: 1. Reveal the used concepts and their interrelations. 2. Determine methods of the solution of tasks. | ||
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Knowledge: 1. Technological methods of extraction of knowledge. 2. The automated methods of extraction of knowledge. 3. Communicative methods of extraction of knowledge. 4. Principles of creation of architecture of expert systems 5. Methodologies and design tools of expert systems 6. Methods and design tools of knowledge bases 7. Fundamental concepts and theories of representation and processing of knowledge | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Structuring (conceptualization) knowledge |
Abilities: 1. Develop the informal description of knowledge of subject domain in the form of the graph, tables, the chart or the text which reflects the main concepts and interrelations between concepts of subject domain 2. Reveal the basic concepts of subject domain and their characteristic. 3. Determine terminology and the relations between concepts. 4. Determine structure of input and output information 5. Determine the strategy of decision making 6. Develop knowledge bases in language of representation of knowledge 7. Develop documentation on expert system and its parts | ||
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Knowledge: 1. Fundamental concept and theory of representation and processing of knowledge. 2. Analysis of normative reference materials, orders, techniques, benefits, managements and other special literature 3. Data mining methods 4. Search engines on the global Internet (Google, Yahoo, Yandex, Rambler) and local networks, in help, legal and consulting systems, etc. 5. Intellectual search agents 6. Devices and functioning of modern expert systems 7. Main tools of expert systems | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 3: Formalization of knowledge |
Abilities: 1. Create descriptions and models business of processes and structure of flows of information 2. Use CASE means in case of development of knowledge bases and in general expert systems 3. Carry out the object-oriented analysis and designing with UML use | ||
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Knowledge: 1. Logical models of representation of knowledge. 2. Productional models of representation of knowledge. 3. Frame model of representation of knowledge. 4. Models of semantic network. 5. Object-oriented models 6. CASE means 7. UML language 8. Bases of modern database management systems 9. Theories of databases 10. Storage systems and analysis of databases | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 2: Organization of processes of development of expert systems |
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Skill 1: Development of software module of prototypes of expert systems |
Abilities: 1. Develop prototypes of expert systems 2. Develop hierarchical management system of expert systems 3. Develop structures of the menu, screen forms and controls on screen forms. 4. Develop graphical design of interfaces of the user | ||
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Knowledge: 1. Special programming languages, oriented to processing of symbolical information (LISP, SMALLTALK, REFAL). 2. Languages of logical programming (Prolog). 3. Languages of representation of knowledge (OPS 5, KRL, FRL). 4. Methodologies of development of the software. 5. Devices and functioning of modern expert systems. 6. Fundamental concepts and theories | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Testing of prototypes of expert systems |
Abilities: 1. Hold testing of convenience and adequacy of interfaces of input-output 2. Perform efficiency of strategy of management (procedure for search, use of indistinct conclusion, etc.) 3. Carry out quality check of test examples 4. Perform knowledge base correctness (completeness and consistency of rules) | ||
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Knowledge: 1. Methods of the automatic and automated check of operability of the software 2. Main types of diagnostic data and methods of their representation 3. Methods of creation and documentation of control examples and test data sets 4. Rules, algorithms and technology of creation of test data sets 5. Requirements to structure and formats of storage of test data sets 6. Devices and functioning of modern expert systems 7. Main tools of expert systems | |||
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Possibility of recognition of skill: |
- | ||
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Labor function 3: Management of processes of development of expert systems |
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Skill 1: Management of development of program code of expert systems |
Abilities: 1. Use methods and acceptances of formalization of tasks 2. Use methods and acceptances of algorithmization of objectives 3. Use software products for graphical display of algorithms 4. Apply standard algorithms in the respective areas 5. Write program code in the chosen programming language 6. Use the chosen programming environment 7. Apply the regulating documents determining requirements to registration of program code 8. Use possibilities of the available technical and/or program architecture 9. Apply collective development environment of the software and the control system of versions | ||
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Knowledge: 1. Methods and acceptances of formalization of tasks 2. Methods and acceptances of algorithmization of objectives 3. Software products for graphical display of algorithms 4. Standard algorithms and field of their application 5. The chosen programming language, feature of programming in this language 6. Languages of formalization of functional specifications 7. Methodologies of development of the software 8. Components of program and technical architecture, the existing appendices and interfaces of interaction with them 9. Technologies of programming 10. Features of the chosen circle of programs 11. Theoretical bases of designing of expert systems | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Management of check of operability of expert systems |
Abilities: 1. Make preparation of test sets, data and check of operability of the software on their basis 2. Apply methods and means of check of operability of the software 3. Interpret diagnostic data (magazines, protocols) 4. Apply methods and means of refactoring and optimization of program code 5. Use possibilities of the available technical and/or program architecture 6. Analyze values of the received characteristics of the software 7. Apply collective development environment of the software and the control system of versions | ||
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Knowledge: 1. Regulating documents, the determining requirements to check of operability of program code 2. Basic principles of debugging of program code 3. Main types of diagnostic data and methods of their representation 4. Methods of preparation of test data sets 5. Methods and means of check of operability of the software 6. Methods and means of refactoring and optimization of program code 7. Components of program and technical architecture, the existing appendices and interfaces of interaction with them 8. Technologies of programming 9. Methods of acceptance of management decisions 10. Basic principles and personnel management methods | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Requirements to personal competences: |
Responsibility Systems thinking Capability to training and self-training Assiduity and attentiveness Creative approach Focus on resulting effect and customer requirements Skills of business communication Ability to solve non-standard problems | ||
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List of technical regulations and national standards: |
|||
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Communication with other professions within the ORK: |
ORK level: |
Name of profession: | |
|
7 |
Artificial intelligence specialist | ||
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12. Profession card "The artificial intelligence specialist": | |||
|
Group code: |
2519-9 | ||
|
Code of the name of occupation: |
2519-9-003 | ||
|
Name of profession: |
Artificial intelligence specialist | ||
|
Skill level on the ORK: |
7 | ||
|
qualification subtotal on the ORK: |
|||
|
Skill level on ETKC, KC and other standard qualification characteristics: |
|||
|
Level of professional education: |
Education level: postgraduate education (magistracy, residency) |
Specialty: Information and communication technologies |
Qualification: - |
|
Education level: the higher education (bachelor degree, specialist programme, internship) |
Specialty: Information and communication technologies |
Qualification: - | |
|
Requirements to work experience: |
At least 5 years of work in the field of development of the software. | ||
|
Communication with informal and informalny education: |
Course preparation | ||
|
Other possible names of profession: |
|||
|
Main objective of activities: |
Design and create systems of artificial intelligence – expert systems | ||
|
Description of labor functions | |||
|
List of labor functions: |
Obligatory labor functions: |
1. Organization of processes of development of expert systems 2. Management of processes of development of expert systems | |
|
Additional labor functions: |
|||
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Labor function 1: Organization of processes of development of expert systems |
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Skill 1: Process control of development of the software of expert systems |
Abilities: 1. Apply methods and means of planning and control (monitoring) of execution of plans 2. Apply normative and technical documents (standards and regulations), the best world practices of process control of development of software product 3. Constitute plans of process of development of software product 4. Estimate quality of the plan of development of software product (resources, terms, risks) 5. Watch execution of plans of development of software product 6. Adjust the plan of development of software product 7. Apply MLOps methodologies 8. Organize processes of A/B of testing of models 9. Manage lifecycle of ML models | ||
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Knowledge: 1. Methods and means of planning and control (monitoring) of execution of plans 2. Quality evaluation methods of the plan of development of software product (resources, terms, risks) 3. Basic principles and personnel management methods 4. Normative and technical documents (standards and regulations), the best world practices of process control of development of software product 5. Theoretical bases of designing of expert systems 6. Main tools of expert systems 7. Principles of MLOps and DataOps 8. Methods of monitoring of drift of data and conceptual drift | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 2: Infrastructure management of collective development environment |
Abilities: 1. Apply methodologies of development of the software 2. Apply project management methodology of development of the software 3. Apply methods and means of the organization of project data 4. Apply the basic principles and personnel management methods 5. Apply normative and technical documents (standards and regulations) describing infrastructure management processes of collective development environment | ||
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Knowledge: 1. Methodologies of development of the software 2. Project management methodology of development of the software 3. Methods and means of the organization of project data 4. The best practician of management of development of the software 5. Basic principles and personnel management methods 6. Normative and technical documents (standards and regulations) describing infrastructure management processes of collective development environment | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Skill 3: Process management of assessment of complexity, labor input, terms of performance of works |
Abilities: 1. Apply normative and technical documents (standards and regulations) describing processes of assessment of complexity, labor input, terms of performance of works 2. Apply methods and appraisal remedies of complexity, labor input and terms of performance of works | ||
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Knowledge: 1. Normative and technical documents (standards and regulations) describing processes of assessment of complexity, labor input, terms of performance of works 2. Evaluation methods of complexity, labor input and terms of performance of works 3. Software for assessment of complexity, labor input and terms of performance of works 4. Basic principles and personnel management methods | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Labor function 2: Management of processes of development of expert systems |
|||
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Skill 1: Management of development of project and technical documentation |
Abilities: 1. Apply normative and technical documents (standards and regulations) determining requirements to project and technical documentation 2. Apply the collective circle of documentation of the software 3. Apply methods of acceptance of management decisions | ||
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Knowledge: 1. Rules of editing scientific and technical documentation 2. Normative and technical documents (standards and regulations) determining requirements to project and technical documentation 3. Methods of increase in readability of program code 4. Methods of acceptance of management decisions 5. Basic principles and personnel management methods 6. Theoretical bases of designing of expert systems | |||
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Possibility of recognition of skill: |
It is not recommended | ||
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Requirements to personal competences: |
Structural thinking Assiduity and attentiveness Creative approach Capability to self-training Focus on resulting effect Ability to solve non-standard problems Skills of business communication | ||
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List of technical regulations and national standards: |
|||
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Communication with other professions within the ORK: |
ORK level: |
Name of profession: | |
|
6 |
Artificial intelligence engineer | ||
|
7 |
Artificial intelligence engineer | ||
|
7 |
Artificial intelligence specialist | ||
13. Name of state body:
Ministry of artificial intelligence and digital development of the Republic of Kazakhstan.
14. The organizations (company) participating in development:
Committee of digital assets and disruptive technologies of the Ministry of artificial intelligence and digital development of RK
Project manager:
Baygazina A.
E-mail: a.baigazina@mdai.gov.kz
Phone number: +7 (717) 264 94 55
Contractors:
Baygazina A., +7 (717) 264 94 55, a.baigazina@mdai.gov.kz.
15. Industry council on professional qualifications:
16. National authority on professional qualifications: 27.12.2024.
17. National chamber of entrepreneurs of the Republic of Kazakhstan of Atameken: -
18. Number of the version and year of release: version 3, 2024.
19. Date of approximate review: 30.12.2027.
Appendix 2
to the Order of the Deputy prime minister – the Minister of artificial intelligence and digital development of the Republic of Kazakhstan of April 20, 2026 No. 209/Tax Code
Appendix 10
to the Order of the Deputy prime minister – the Minister of artificial intelligence and digital development of the Republic of Kazakhstan of November 10, 2025 No. 569/Tax Code
1. Scope of the professional standard: The professional standard "Development of IoT of Systems" is developed according to article 5 of the Law of the Republic of Kazakhstan "About professional qualifications", establishes requirements to forming of educational programs, including personnel trainings at the companies, recognitions of professional qualification of workers and graduates of the organizations of education and solutions of wide range of tasks in the field of personnel management in the organizations and at the companies.
2. In this professional standard the following terms and determinations are applied:
1) the Information System (IS) – the organizational arranged set of the information and communication technologies, service personnel and technical documentation realizing certain technological actions by means of information exchange and intended for the solution of specific functional objectives.
2) Information technology (IT, IT) is the process using set of means and methods of collection, processing and data transmission for receipt of information of new quality on condition of object, process or the phenomenon. Information technologies (IT, from English Information technology, IT) is class of the spheres of activity relating to technologies of management and processing of huge flow of information using computer facilities.
3) Maintenance of IS – the ensuring the working capacity put into commercial operation by IS according to its appointment, including actions for carrying out adjustment, modification and elimination of defects of the software without carrying out upgrade and implementation of additional functional requirements and on condition of preserving its integrity.
4) Architecture of IS – the concept determining model, structure, the carried-out functions and interrelation of components of information system.
5) the Database (D) – data set, organized according to the conceptual structure describing characteristics of these data, and also interrelations between their objects.
6) the Graphical interface of the user (Graphical User Interface, GUI) – certain program the giving opportunity to use elements of the user interface in the form of graphical objects.
7) the User Interface (UI) – elements of the interface of system which are used by the user in operating time in system (the menu, buttons, dialog boxes) in the form of objects in which color scale, the size, style and other graphical opportunities is considered.
8) Systems of automation of development of programs (CASE – means) – tool kit and methods of program engineering for designing of the software which helps to provide high quality of programs, lack of mistakes and simplicity in servicing of software products.
9) Wi-Fi (Wireless Fidelity) – technology of wireless local network with devices on the basis of the IEEE 802.11 standards.
3. In this professional standard the following reducings are applied:
1) IoT – Internet of Things;
2) TCP/IP – Transmission Control Protocol/Internet Protocol;
3) ICT – Information and communication technologies;
4) ON – Software;
5) DB – Databases;
6) OS – OS – the Operating system;
7) BAR code (stroke code) – the graphical information placed on product surface;
8) RFID – method of automatic identification of objects, RFID systems consist of the reader and the transponder;
9) UML – unified modeling language.
4. Name of the professional standard: Development of IoT of systems.
5. Code of the professional standard: J066.
6. Instruction of section, the Section, group, class and subclass agrees OKED:
J Information and communication.
62 Computer programming, the consulting and other accompanying services.
62.0 Computer programming, the consulting and other accompanying services.
62.01 Activities in the field of computer programming.
62.01.1 Development of the software.
7. Short description of the professional standard: Development, designing, use of ecosystem, network connections, protocols, sensors, locks, architecture of networks and systems, cloud platforms, standards of safety. Understanding of the built-in systems, application of IoT-connections (5G, LTE, NB-IOT, 3GLoRA, SigFox, WiFI, Bluetooth). Work on the IoT (IoTArchitects) platforms and application of cloud technology.
8. List of cards of professions:
1) the Engineer of cloudy IoT of systems - the 7th ORK level;
2) the Engineer of cloudy IoT of systems - the 6th ORK level;
3) the IoT Software engineer of systems - the 6th ORK level;
4) the IoT Software engineer of systems - the 7th ORK level.
|
9. Profession card "Engineer of cloudy IoT of systems": | |||
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Group code: |
2529-0 | ||
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Code of the name of occupation: |
- | ||
|
Name of profession: |
Engineer of cloudy IoT of systems | ||
|
Skill level on the ORK: |
7 | ||
|
qualification subtotal on the ORK: |
|||
|
Skill level on ETKC, KC and other standard qualification characteristics: |
|||
|
Level of professional education: |
Education level: postgraduate education (magistracy, residency) |
Specialty: Information and communication technologies |
Qualification: - |
|
Education level: the higher education (bachelor degree, specialist programme, internship) |
Specialty: Information and communication technologies |
Qualification: - | |
|
Requirements to work experience: |
the highest (or postgraduate) education in the corresponding direction of training and length of service as the engineer of cloudy IoT of systems 6 of level at least 2 years. | ||
|
Communication with informal and informalny education: |
Course preparation | ||
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Other possible names of profession: |
|||
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Main objective of activities: |
Management of IoT of system at the physical, network and applied level | ||
|
Description of labor functions | |||
|
List of labor functions: |
Obligatory labor functions: |
1. Ensuring working capacity at the physical level 2. Ensuring working capacity at the network level 3. Ensuring working capacity at the applied level | |
|
Additional labor functions: |
|||
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Labor function 1: Ensuring working capacity on physical to the royena |
|||
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Skill 1: Control of IoT of devices |
Abilities: 1. Carry out classification, selection and processing of big data, for determination of required tasks of industry: detection of the sales forecast, data processing optimization, speed and frequency of management of object and so on. 2. Use scaleable program tools to processing, storage and transfer of cloudy data. 3. Carry out job evaluation of the started products, forming of the conclusions on their improvement. | ||
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Knowledge: 1. Mathematical methods and computing algorithms of extraction of knowledge and experimental data 2. Principles of research, filtering. 3. Transformation and data modeling 4. Bases of work of the database, principles of work of NoSQL, algorithms MapReduce, means of mass and parallel processing of vaguely structured | |||
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Possibility of recognition of skill: |
It is not recommended | ||
|
Skill 2: Analysis and monitoring of IoT of devices |
Abilities: 1. Develop models of products (Proof of Concept) according to customer requirements. 2. Calculate profitability of projects and their protection. 3. Develop the plan of conclusion of products for the market and their realization. 4. Determine program and the hardware (RFP development) for development of IoT of system. 5. Develop price policy and tariff plans on implementable products on the basis of the preliminary overview of the market of products of IoT. 6. Carry out marketing work on promotion of products. 7. Apply software to carrying out monitoring of characteristics of IoT of devices. | ||
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Knowledge: 1. Functional purposes of products of B2B 2. Concept and principles of creation of business plans 3. Concepts of IoT technologies, IoT market development trends; 4. Features of the market of cellular communication (terminology, features of the legislation, participants of the market); 5. Modern project management methodology (Waterfall, Agile, Scrum, Asana); | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
|
Labor function 2: Ensuring working capacity at the network level |
|||
|
Skill 1: Installation and servicing of network oborudovaniye |
Abilities: 1. Make setup of configuration of system for network oborudovaniye 2. Apply methods of safety of network channels 3. Determine and apply measures for reduction of risk of transfer of harmful products by other devices, by the correct isolation of devices of the Internet of things 4. Carry out analytics for forecasting of maintenance of devices 5. Design infrastructure of network oborudovaniye | ||
|
Knowledge: 1. Broad tool kit for safety which can be applied to the personal computer and servers, IoT devices. 2. Cloudy decisions and intermachine communication (M2M) 3. The DB functional level to work with information which is generated by IoT devices. | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
|
Skill 2: Control and monitoring of communication technology |
Abilities: 1. Carry out monitoring of development of the companies, staticize materials on the companies in CRM and other actions. 2. Carry out integrity checking of code (including the data generated by them), to use instruments of check of authenticity of users to prevention of unauthorized access to data and reflection of the virtual and physical attacks. 3. Block IP addresses, intercept suspicious signals, limit actions of the user in network. 4. Develop safety certificates for IoT devices. | ||
|
Knowledge: 1. The principles of work of IoT technologies - from software and hardware of identification and measurement to technologies of creation of data transmission networks, data processing, forming of analytical/predicative data; 2. Developments, world trends and perspectives of development of IoT technologies in different industries 3. Programming languages for IoT of systems | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
|
Labor function 3: Ensuring working capacity at the applied level |
|||
|
Skill 1: Configuring ON for IoT of systems |
Abilities: 1. Make setup and establish ON and intermachine interaction 2. Register and identify users of network 3. Fill, watch, carry out monitoring of DB for IoT of systems 5. Create conditions for optimum performance and safety of systems and infrastructure of IT, including DB, ON, OS. | ||
|
Knowledge: 1. The characteristic and opportunities such ON as Amazon Web Services, MicrosoftAzure, Thing WorxIo TPlatform, IBM "sWatson, CiscoIoTCloudConnect, SalesforceIoTCloud, OracleIntegratedCloud, GE. 2. Designing of architecture of the database, structures of data, dictionaries and agreements on names for projects of information systems; 3. Programming languages for programming of the built-in systems and appendices for control of IoT devices 4. Profound knowledge of Linux OS | |||
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Possibility of recognition of skill: |
It is not recommended | ||
|
Skill 2: Maintenance ON for IoT of systems |
Abilities: 1. Perform works on processing, storage and data transmission in remote storage 2. Carry out tasks on error correction at the level of application of appendix with maintaining bug contango. 3. Use cloud computing, mobile applications. 4. Create reports of reconciliation on subscribers (number of users, downloading of applications, statistics of claims, etc.). 5. Hold testing of network and check of work on new insertions, new application versions, in case of implementation of new functionality. | ||
|
Knowledge: 1. Methodology of processing of big data, structure of data 2. Principles of work of cloud technology 3. Architecture of the database and appendices for IoT of systems | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
|
Requirements to personal competences: |
Responsibility Analytical thinking Logical thinking Responsibility Analytical thinking Logical thinking Sense of duty Mathematical thinking Focus on result Organization Creativity Independence in the problem resolution Accuracy | ||
|
List of technical regulations and national standards: |
|||
|
Communication with other professions within the ORK: |
ORK level: |
Name of profession: | |
|
6 |
Engineer of cloudy IoT of systems | ||
|
7 |
IoT software engineer of systems | ||
|
10. Profession card "Engineer of cloudy IoT of systems": | |||
|
Group code: |
2529-0 | ||
|
Code of the name of occupation: |
- | ||
|
Name of profession: |
Engineer of cloudy IoT of systems | ||
|
Skill level on the ORK: |
6 | ||
|
qualification subtotal on the ORK: |
|||
|
Skill level on ETKC, KC and other standard qualification characteristics: |
|||
|
Level of professional education: |
Education level: the higher education (bachelor degree, specialist programme, internship) |
Specialty: Information and communication technologies |
Qualification: - |
|
Education level: postsecondary education (applied bachelor degree) |
Specialty: The software (by types) |
Qualification: - | |
|
Education level: TIPO (specialist of average link) |
Specialty: The software (by types) |
Qualification: - | |
|
Requirements to work experience: |
the higher education in the corresponding direction of training without presentation of requirements to length of service or technical and professional, postsecondary education on the corresponding specialty (qualification) and length of service in the field of software development at least 3 years. | ||
|
Communication with informal and informalny education: |
|||
|
Other possible names of profession: |
|||
|
Main objective of activities: |
Management of IoT of system at the physical, network and applied level | ||
|
Description of labor functions | |||
|
List of labor functions: |
Obligatory labor functions: |
1. Ensuring working capacity at the physical level 2. Ensuring working capacity at the network level 3. Ensuring working capacity at the applied level | |
|
Additional labor functions: |
|||
|
Labor function 1: Ensuring working capacity on physical to the royena |
|||
|
Skill 1: Control of IoT of devices |
Abilities: 1. Adjust and establish sensors and readers for implementation of information transfer on check and the analysis of transmitted data. 2. Select and constitute the description of characteristics of sensors and readers for the required project 3. Understand network devices and their interaction with sensors and readers. 4. Consider computing capacity of devices and regulate information flow. | ||
|
Knowledge: 1. Characteristics of devices and their application in industries. 2. Software for IoT of systems 3. Methodology of intermachine interaction 4. Technology of work with the built-in systems | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
|
Skill 2: Analysis and monitoring of IoT of devices |
Abilities: 1. Reveal premises for emergencies and decrease in overall performance of devices. 2. Carry out diagnostics ustroystviot. 3. Make the control of technological transactions which is carried out by IoT devices for increase in predictability of their operation. 4. Carry out the analysis of transaction of IoT devices for error correction, upgrade, replacement and enhancement of devices. 5. Perform interaction with call center, mail and the SMM agency according to the claims requiring consideration of the owner of product. | ||
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Knowledge: 1. Technology of work of interaction of components among themselves, implementation authentication in system, expansion of system in safe configuration, implementation of accounting of events. 2. Methods of detection of incidents and response to them 3. The theory of electromagnetic compatibility, basis of distribution of radio waves, to calculations of coverages, routing algorithms in wireless networks. | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
|
Labor function 2: Ensuring working capacity at the network level |
|||
|
Skill 1: Installation and servicing of network oborudovaniye |
Abilities: 1. Establish connection of sensors and readers with mobile devices, Wi-Fi, the server. 2. Carry out tasks on error correction at the network level 3. Carry out the post-analysis for loading on internal enterprise portals 4. Administer the network equipment for ensuring intermachine interaction 5. Make mount and demontirovka of network oborudovaniye. | ||
|
Knowledge: 1. Network the equipment and protocols for establishment of interaction between machines 2. The network technologies used in IoT 3. New network, such as Thread (alternative for application in automation of house space) and TV white space. 4. Standard protocols of IT communication and on ZigBee, Z-Wave, 6LoWPAN, Sigfox, Neul, NFC and LoRaWAN | |||
|
Possibility of recognition of skill: |
It is not recommended | ||
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