Professional skills

• Experience in selling digital/educational products (EdTech, online courses, platforms, subscriptions, IT services) from 1 year old
• Understanding the sales funnel: lead → consultation → transaction → support
• Understanding the specifics of sales in the field of education (schools, training centers, administrators, directors)
• Skills in conducting (online/offline) product presentations and demonstrating its value to the school
• The ability to identify the needs of educational organizations and select solutions for their tasks
• The experience of conducting transactions from the first contact to the conclusion of the contract and the launch of the product
• Skills in handling incoming and outgoing calls
• Ability to handle objections and close deals

Communication skills

• Good oral and written communication skills (Russian, Kazakh — required)
• The ability to explain a complex product in a simple and understandable language
• Negotiation and persuasion skills
• Objection management skills (implementation, teacher workload, deadlines)
• A customer-oriented approach and the ability to build long-term relationships
• Understanding school processes and digitalization of education

Analytics and results

• Ability to analyze market needs and customer feedback
• The ability to conduct transactions from the first contact to the conclusion of the contract
• Analyzing feedback from schools and sharing insights with the product team
• Report management skills and responsible database management
• Experience in launching or scaling content products

Document management and communication

• Preparation and sending of official letters and commercial proposals for different segments of clients (schools, education departments, education departments)
• Creating product presentations and KPIs with an emphasis on value and benefits for the school
• Conducting service contracts: agreeing on terms, interacting with lawyers and accounting
• Maintaining a database of documents and clients, monitoring connection statuses and deadlines

Personal qualities

• Responsibility for the result
• Willingness to learn about the product and develop in the field of EdTech / digital
• Stress tolerance and multitasking skills
• B2B sales experience (to schools, training centers, corporate clients)

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What you get by joining us:

• A decent salary — we will discuss it at the meeting, individually and honestly.
• Result Bonuses — you get an additional reward for achieving your goals.
• A warm and supportive team — we value respect, openness and a sense of humor.
• Knowledge upgrade — access to Kitap courses.kz, Bilimland.com, Lerna.kz and other educational platforms.
• Languages are easy: learn foreign languages in Qlang.kz in a rhythm that suits you.
• A cozy office with relaxation areas — coffee, tea, Xbox, table football and a space for rebooting.
• Benefit Cafeteria — sports, health, education. You choose what's important (access in six months).
• Events, quizzes, meet-ups and Tatti kun are a tradition of delicious treats and fun meetings.
• BYOD — if you work with your laptop, we will compensate for this.

How we work:

• In the office in Astana (Expo, Mangilik el 55/13)
• Schedule: Mon–Fri, from 9:00 to 18:00
• Official hiring from the first day, probation period — 3 months

Responsibilities:

• Collecting, analyzing, and documenting educational product requirements.
• Modeling and optimization of business processes using BPMN 2.0 and UML notations.
• Setting tasks for the development team, testers and designers within the framework of Agile processes (sprints, backlog, user stories).
• Integration with external systems (SmartBridge, payment gateways, etc.).
• Interact with stakeholders to coordinate requirements and priorities in Agile teams.
• Participation in retrospectives, planning and evaluation of tasks (story points, velocity).
• Preparation of technical documentation (TOR, specifications, ER diagrams).

Requirements:

• At least 2 years of experience as a business or systems analyst, preferably in IT/EdTech.
• Strong command of BPMN, UML; experience working with Confluence, Jira.
• Knowledge of SQL at the level of writing complex queries for data analysis.
• Deep understanding of Agile/Scrum methodologies: experience working in cross-functional teams, writing user stories, conducting grooming sessions, working with Kanban boards.
• Experience working with REST API, basic understanding of microservice architecture.
• Skills in analyzing product metrics and user behavior.
• Preferably: experience in EdTech (online courses, LMS, educational platforms).
• It will be a plus:
• Analyzing user data and metrics (Google Analytics, Amplitude, Tableau) to improve the product.
• Developing and conducting A/B tests of educational content and functionality.
• Knowledge of BI tools (Tableau, Power BI).
• Understanding ML/AI in the context of personalized learning.
• Agile certification (CSM, PSM or similar).

Basic requirements (education, skills)

What we are looking for in a candidate:

• At least 3 years of experience as a product manager
• At least 1 year with SaaS, CRM or similar products
• Technical competence: you easily understand the API, understand the technical aspects of tasks, and are able to work with developers in the same language.
• Practical experience with metrics: there are cases for improving the funnel, product metrics
• Product management skills: you are familiar with approaches like JTBD, prioritization of tasks (for example, RICE or ICE), are able to organize the process in Scrum and work with product analytics

Preferably:

• Technical backup
• Strong knowledge of Google Analytics, Yandex Metrics
• Independent interview experience
• Experience with mobile applications

What you get by joining us:

• A decent salary — we will discuss it at the meeting, individually and honestly.
• Result Bonuses — you get an additional reward for achieving your goals.
• A warm and supportive team — we value respect, openness and a sense of humor.
• Knowledge upgrade — access to Kitap courses.kz, Bilimland.com, Lerna.kz and other educational platforms.
• Languages are easy: learn foreign languages in Qlang.kz in a rhythm that suits you.
• A cozy office with relaxation areas — coffee, tea, Xbox, table football and a space for rebooting.
• Benefit Cafeteria — sports, health, education. You choose what's important (access in six months).
• Events, quizzes, meet-ups and Tatti kun are a tradition of delicious treats and fun meetings.
• BYOD — if you work with your laptop, we will compensate for this.

How we work:

• In the office in Astana (Expo, Mangilik el 55/13) or Almaty (Nurly-Tau, Al-Farabi 17/1)
• A remote format is possible — we'll discuss it at the start.
• Schedule: Mon–Fri, from 9:00 to 18:00
• Official hiring from the first day, probation period — 3 months

We are - Panama.kz - a leading IT developer with 15 years of experience in Kazakhstan. We have implemented more than 500 successful projects, helping clients grow. We specialize in IT solutions for optimizing business processes and digital transformation. At the moment, we are implementing two innovative products to create a unified business ecosystem for our customers – EasyFood and EasyShop. Now our team needs an experienced accountant. 

Responsibilities:

Accounting and financial accounting

-- Maintaining accounting and financial records of the company

-- Maintaining a register of income and expenses

-- Preparation of reports on actual costs and receipts for the period

-- Generation of reports on projected costs and receipts

Document management and work with counterparties

-- Preparation and billing, AVR, ESF

-- Sending primary accounting documents to counterparties

-- Control of signing and return of signed copies of invoices, AVR, ESF

-- Conducting business correspondence with counterparties on financial and contractual issues

-- Conducting reconciliation of settlements with counterparties

-- Collection of missing documents and elimination of discrepancies

Payments and settlements

-- Control of accounts receivable and payable

-- Making payments according to the approved schedule:

--- PHOTO--- taxes--- operating expenses

-- Making current payments on agreed requests

Contracts and obligations

-- Accounting of contracts with contractors, contractors and clients

-- Control of financial obligations under existing contracts

-- Control of the validity period of contracts in terms of financial conditions

-- Reporting and interaction with government agencies

-- Preparation and submission of mandatory reports (monthly, quarterly, annual)

-- Document management with state and extra-budgetary funds

-- Receipt and control of supporting documents (receipts, notifications, etc.)

Requirements

- Experience as an accountant

- Valid Kazakhstani certificate of professional accountant

- Knowledge of accounting and tax legislation of the Republic of Kazakhstan

- Experience working with ESF, AVR, primary documentation

- Attentiveness, responsibility, compliance with deadlines

Conditions

- Full-time

- Official employment

- Stable salary

- Work in a developing company

- Opportunity for professional growth

We are an IT company with 15 years of experience, we are looking for an EasyFood project team (https://easyfood .kz) an ambitious and experienced Product Marketer/Growth Partner.

The ideal candidate is a marketer of a large restaurant chain, or an Account Manager in aggregators (Glovo, Wolt, Choco) who wants to have more influence on the result.

Key tasks:- Audit and strategy: Analysis of the current marketing and delivery of the partner restaurant and search for growth points through EasyFood.- Implementation and launch: Setting up a sales funnel for delivery within a partner restaurant (promotions, menus, loyalty program) for each specific restaurant.- Consulting: Training/advising the partner restaurant and its employees on how to attract delivery traffic (from offline tabletents to targeting).- Retention Management: Work to ensure that restaurants do not just connect EasyFood, but see a real increase in revenue and stay with you for a long time.- Analytics: Regular reports for partners: "It was, It Became", and argumentation of the value of the product through numbers.

2. Hard Skills- Unit-restaurant economics: Understanding food cost, marginality of delivery and how discounts/promotions affect profits.- Digital tools: Basic understanding of targeted advertising (FB/IG), working with bloggers and local geo-services (2GIS, Google Maps).- CRM and analytics: The ability to work with data, segment the restaurant's customer base for newsletters and push notifications.- Experience at HoReCa: An understanding of the "inner workings" of cuisine and service is highly desirable, so that the advice is applicable to life, and not just in theory.

3. Soft Skills (Personal qualities)- Entrepreneurial mindset: He should treat the partner's restaurant as his business. Negotiation skills: The ability to convince a conservative restaurateur to implement changes.- Research mindset: The constant search for new bundles: "What if we make combo lunches for offices in the area?"- Communication skills: The ability to coordinate the actions of the restaurant team and, possibly, your technical specialists.

What we offer:

- Official employment and stable salary.

- Salary from 500,000 tenge + interest. Your income depends only on your efforts and ambitions!

- A young and energetic professional team, where ideas and initiatives are appreciated and supported.

- A modern office on the border of the right and left banks and a comfortable 5/2 schedule from 9 to 18.

Please accompany your feedback with a brief description of your key achievements in the field of growth marketing.

Basic requirements (education, skills)

• Experience of fine-tuning and/or RAG systems based on open-source LLM (Qwen, Mistral, LLaMA, Yi or analogues)
• Knowledge of frameworks: vLLM / TGI, LangChain / LlamaIndex, HuggingFace Transformers
• On-premise GPU deployment experience 
• Strong command of Python; experience writing REST API integrations
• Understanding the principles of working with personal data: anonymization, encryption (TLS 1.3, AES-256)
• Experience in developing classifiers and sentiment analysis models based on Russian-language texts

The advantage will be:

• Experience with voice stacks: ASR/TTS (SaluteSpeech, Vosk, Silero) + SIP/VoIP integration
• Knowledge of the requirements of FZ-152 (personal data) and FZ-230 (collection)
• LLM security system design experience (guardrails, prompt injection defense)
• Working with JSON format data + dialog metadata
• Experience in A/B testing of ML models in production

What you have to do

It is necessary to implement the development of a custom LLM system with hyperpersonalization function to automate communications with debtors. The system should be fully deployed in the on-premise infrastructure of the customer. 

Tasks:

• Selection and configuration of the basic LLM for the tasks of dialog recovery (context from 32k to 128k tokens, Russian language only)
• Fine-tuning models based on 50,000+ marked-up dialogues (categories: payment/ restructuring/rejection, sentiment, critical scenarios)
• Development of a knowledge-based RAG pipeline (regulations) for question-and-answer mode
• Implementation of the intent classifier and the dialogue history summarization module (50+ sessions per debtor)
• Development of a three-level generation security system: system prompt → online validator → dialog audit
• Protection against prompt injection through input data sanitization
• Integration via the REST API with the collection system (obtaining debt data, synchronizing the time zone to comply with time windows)
• Ensuring performance requirements: <1.5 seconds per text, up to 200 simultaneous dialogues​
• Participation in the design of the voice module (ASR/TTS + SIP, latency ≤2.5 seconds) 
• Development of quality metrics: LSS ≥ 99.5%, the proportion of escalations to the operator < 30%, uplift recovery rate ≥ 8%

What we offer (Social package, benefits)

• Format: project employment, remotely
• Duration: Stage 1 — 2026 (pilot for 10,000 debtors), further possible continuation
• Infrastructure: on-premise GPU cluster on customer's equipment (Dell PowerEdge), access to a dataset of 200,000+ records and 50,000+ dialogues

Basic requirements (education, skills)

• Experience of fine-tuning and/or RAG systems based on open-source LLM (Qwen, Mistral, LLaMA, Yi or analogues)
• Knowledge of frameworks: vLLM / TGI, LangChain / LlamaIndex, HuggingFace Transformers
• On-premise GPU deployment experience 
• Strong command of Python; experience writing REST API integrations
• Understanding the principles of working with personal data: anonymization, encryption (TLS 1.3, AES-256)
• Experience in developing classifiers and sentiment analysis models based on Russian-language texts

The advantage will be:

• Experience with voice stacks: ASR/TTS (SaluteSpeech, Vosk, Silero) + SIP/VoIP integration
• Knowledge of the requirements of FZ-152 (personal data) and FZ-230 (collection)
• LLM security system design experience (guardrails, prompt injection defense)
• Working with JSON format data + dialog metadata
• Experience in A/B testing of ML models in production

What you have to do

It is necessary to implement the development of a custom LLM system with hyperpersonalization function to automate communications with debtors. The system must be fully deployed in the on-premise infrastructure of the customer. 

Tasks:

• Selection and configuration of the basic LLM for the tasks of dialog recovery (context from 32k to 128k tokens, Russian language only)
• Fine-tuning models based on 50,000+ marked-up dialogues (categories: payment/ restructuring/rejection, sentiment, critical scenarios)
• Development of a knowledge-based RAG pipeline (regulations) for question-and-answer mode
• Implementation of the intent classifier and the dialogue history summarization module (50+ sessions per debtor)
• Development of a three-level generation security system: system prompt → online validator → dialog audit
• Protection against prompt injection through input data sanitization
• Integration via the REST API with the collection system (obtaining debt data, synchronizing the time zone to comply with time windows)
• Ensuring performance requirements: <1.5 seconds per text, up to 200 simultaneous dialogues​
• Participation in the design of the voice module (ASR/TTS + SIP, latency ≤2.5 seconds) 
• Development of quality metrics: LSS ≥ 99.5%, the proportion of escalations to the operator < 30%, uplift recovery rate ≥ 8%

What we offer (Social package, benefits)

• Format: project employment, remotely
• Duration: Stage 1 — 2026 (pilot for 10,000 debtors), further possible continuation
• Infrastructure: on-premise GPU cluster on customer's equipment (Dell PowerEdge), access to a dataset of 200,000+ records and 50,000+ dialogues

Basic requirements (education, skills)

What you have to do

What we offer (Social package, benefits)

We have our own IT development, which has been operating for almost a year within the same company.

There are no analogues of the development in Kazakhstan yet.

There are plans to enter the Kazakhstani customer market, but the development will need to be finalized.

First of all, senior students in the areas of "Programming" and "Web development" are considered.

Middle, senior, and team-lead specialists)) no need.

It will be necessary to refine the functionality, put it in a web shell / mobile application.

Why are we considering only students? This is a chance to prove yourself and your knowledge not just on paper theory, but in a real business case.

The reward will be provided as the project is completed.

Send your RESUME, portfolio, github, pet projects by email. expertplusdeltam@gmail.com marked "Our project".

Who we are:

Biometric Company.Vision, the Computer Vision team. We make models that “see” the world:

detection/segmentation/classification, data quality is critical.

What needs to be done (the main thing is markup):

● Mark up images for computer vision tasks:

bbox (rectangles)

o Classification / segmentation,

o Key points

o Classes/attributes

Sometimes it's a simple check/correction of already marked up data.

● Work according to clear quality guides and checklists.

● Be careful: the same logic of markup, attention to detail, minimization of errors.

● Keep a small report: progress, questions on controversial cases, suggestions for improving instructions.

In parallel (as development, not instead of markup):

● Dive into the basics of ML/CV: why does the model need such markup, how data affects quality.

● Sometimes participate in mini-reviews of model/dataset errors with the team.

Who we are looking for:

● A diligent and attentive person who likes to do monotonous but important work.

● Willingness to learn and follow markup rules.

● Basic PC confidence, accuracy, responsibility.

● Plus (optional): interest in ML/CV, experience with any markup tools (CVAT, Label Studio, Supervised, etc.).

We offer:

● Full-time internship / part-time (format can be discussed).

● Mentor, clear instructions, quick feedback on quality.

● Real projects and datasets (not “educational markup on the table”).

● Growth: from markup → quality control → more complex markup types and understanding of the ML pipeline.

Biometric.Vision is a leader in biometric identification technologies. We create products that are used by millions of people to access financial and government services. Our success is based on a balance between impeccable security and high conversion rates. We are looking for a Lead of Fraud & Conversion Lab to head our "quality and Safety management center." This is a role for a researcher and strategist who understands that behind every percentage of conversion there is real business money, and behind every case of fraud there are reputational risks.

Your key tasks are:

- Threat Research (R&D): In-depth study of modern methods of bypassing biometric systems (Deepfakes, 3D masks, Injection attacks). You will have to act as the "devil's advocate", finding vulnerabilities in the product before intruders.

- Optimization of the funnel (Conversion): Detailed analysis of the user's path during the verification process. You will need to find the stages at which users "fall off" and offer solutions to improve the UX without losing the quality of security.

- Algorithm setup: Calibrate system response thresholds (FAR/FRR) together with the team, finding the perfect balance for different business segments.

- Analytical reporting: The formation of regular reports for the CEO and key stakeholders on the security status of the system and the effectiveness of customer inspections.

What we expect from you:

- At least 3 years of experience in the fields of Anti-fraud, Risk Management or Product Analytics in large fintech projects or banks;

- High proficiency in SQL and Python (for data analysis and reporting automation);

- Understanding the principles of neural networks and computer vision systems (Computer Vision);

- The ability to think critically and quickly adapt to new types of cyber threats.

What will be the advantage:

- Experience in regulated industries (KYC/AML requirements);

- Mathematical background or specialized education in the field of information security.

Conditions:

- Probation period (3 months);

- Work in the epicenter of AI technologies;

- Competitive salary and the possibility of obtaining options;

- Modern office and a team of professionals.