🚀 CARU is released in Almaty.

We are launching a technology platform for car maintenance management in Kazakhstan.

We are not looking for an employee.

We are looking for a person who wants to build.

If you're bored with a regular job, this is for you.

If you want to be the first, take responsibility and grow faster than others, read on.

Who we need:

• Do you love cars and understand how the service works?

• You have a driving experience (2+ years)

• Are you not afraid of difficult tasks?

• You know how to negotiate and keep your word.

• You want to prove yourself.

What you will do:

• Taking cars from customers

• Monitor repairs

• Put pressure on the service if necessary

• To protect the interests of the client

• Making sure that the client is impressed

• You will be the face of CARU in Kazakhstan.

What you get:

• Competitive payment + bonuses

• Direct work with the founder

• Rapid growth

• The opportunity to become a key person in the country

We are building a system.

If you want to be a part of the launch, send a motivation letter and a photo to:

📩 info@caru.ge

In the subject of the letter, specify: "Manager in Almaty"

What will you need to do?

• Creating new content (features, new events, etc.), fixing bugs
• Integration of various services and SDKs
• Working in a remote format
  
  

Required skills:

• At least 3 years of experience working on Unity
• Knowledge of OOP, data structures and algorithms
• Confident knowledge of C#
• Ability to solve tasks quickly and efficiently
• The ability to articulate and express your thoughts clearly
  
  

It will be a plus:

• The desire to make cool games
  
  

We expect you to:

• Response from the resume
• Willingness to deal with technical issues at the interview

If you are looking to enhance your Java skills and gain the hands-on experience needed to start your IT career, this internship is for you.

Under the guidance of EPAM experts, you will:

1. Learn how to develop enterprise-level Java applications
2. Explore modern architectural patterns and frameworks
3. Deepen your understanding of the leading cloud platforms
4. Master modern GenAI tools to boost your productivity

Upon graduation, you may have the opportunity to take a technical interview and start your career at EPAM.

General requirements:

1. Citizens of Kazakhstan and permanent residents who are eligible to work in this country
2. Second-to-last or final year university students, graduates and specialists changing careers
3. Individuals aged 18 years and older
   
   

Skills requirements:

1. English level from B1 (Intermediate) and higher
2. Solid knowledge of Java Core and skills in Java Multithreading
3. Proficiency in Java Web technologies (Front-End: HTML, CSS, JavaScript; Back-End: Servlets)
4. Understanding of database development using SQL and the JDBC API
5. Competency in Spring Core and Spring MVC
6. Familiarity with design patterns
7. Experience with unit testing
   
   

What do we offer?

1. Industry-focused education with EPAM, a leading software engineering company
2. Intensive, hands-on learning through numerous practical tasks
3. Free access to top-notch educational materials and resources
4. Regular guidance from seasoned mentors throughout your training
5. Deep dive into your specialization and integration into EPAM's ecosystem
6. Adoption of AI tools to provide an innovative learning experience
7. Opportunity to join the EPAM team upon successful program completion

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)

​​​​​

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

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.

We are looking for a business/systems analyst who will work on the company's own product in the field of KYC (Know Your Customer), digital identification and compliance solutions for banks, fintech companies and government organizations.

The role involves deep work with requirements, integrations and architecture, close interaction with the product team and development, as well as influence on product development and its value to customers.

Tasks:

- Collection, analysis and formalization of business and system requirements from customers and internal stakeholders;

- Conversion of requirements into User Stories, Use Cases, and Functional Requirements;

- Modeling of business processes and system interactions (BPMN, UML, ERD);

- Development of KYC service integrations: REST API, data formats (JSON/XML), microservices interaction;

- Decomposition of requirements into tasks for backend and frontend developers;

- Checking the completeness and feasibility of requirements together with the development team;

- Participation in grooming sessions, planning, demo and acceptance of functionality;

- Preparation of design, technical and user documentation (including according to GOST);

- Advising team members at all stages of development.

We expect you to:

- At least 3 years of experience as a business or system analyst (IT/ SaaS/ FinTech);

- Confident command of BPMN, UML (sequence, class, component), ERD - required;

- Practical experience in describing requirements: User Story, Use Case, Functional Requirements;

- Knowledge of SQL at the level of writing complex queries for data analysis;

- Understanding the principles of web and mobile application development;

- Experience working with REST API, basic understanding of microservice architecture;

- Experience working with Atlassian stack (Jira, Confluence), Figma, draw.io , miro;

- Understanding and practical experience in Agile/ Scrum/Kanban, knowledge of Waterfall;

- Business communication skills, the ability to negotiate and argue decisions;

- The ability to prioritize tasks and manage time effectively.

It will be a plus:

- Experience working with KYC/AML / Compliance / Identity products;

- Experience interacting with banks, fintech companies, or government systems;

- Experience of integration via Smart Bridge;

- Working with product metrics and user data;

- Google Analytics, Amplitude, Tableau, Power BI;

- Experience in A/B testing of functionality;

- Specialized certifications (Agile, BA, SA);

- English language proficiency.

Conditions:

- Full employment;

- Work schedule: 5/2;

- Work format: office (there is no remote format);

- Work on your own product, not outsourcing;

- Strong product and engineering team;

- The ability to influence architecture, processes, and product development.