Жұмыс орындары

• Develop and execute functional and non-functional tests
• Create and maintain automated tests (REST API, Web UI)
• Participate in requirements, design, and code change reviews
• Provide testing progress metrics and product quality levels
• Mentor colleagues in using internal QA tools and processes

• Fluent English (B2+)
• 3+ years as an Auto QA Engineer
• Automation testing of RESTful APIs using Java or Groovy
• Automation of Web UI tests using Selenium and Java/Groovy
• Understanding of test frameworks and architecture
• Experience in cross-functional agile teams

• CI/CD tools (Jenkins, etc.)
• Mobile automation (Appium)
• Load testing
• Experience with financial systems

📧 alena.dolgorukova@dfi.ai
📱 @Alyona_ITHR

• Development of PD models (application & behavioral)
• Work with bureau data, telecom and other external sources
• Evaluation and transformation of new data sources into working features
• Contribution to anti-fraud systems (transactional, credit, dropper schemes)

• 1+ year of hands-on experience in building and deploying credit risk models
• Strong knowledge of Python, SQL, sklearn, LightGBM, CatBoost
• Deep understanding of classical ML and model internals
• Solid grasp of risk metrics (ROC-AUC, Gini, KS, PSI, etc.)
• Ability to explain model value and logic to business stakeholders
• Awareness of strengths and weaknesses of different models and data sources

NIKOLAIS@freedombank.kz
@statsenko

• Independent validation of models (credit/financial risk, classical DS, stress-testing)
• Development of alternative benchmark models and methodologies
• Assessment and monitoring of model risk levels
• Interaction with developers, risk managers, and regulators

• Risk modeling / predictive DS experience
• Experience with credit risk models (IFRS 9: PD, LGD, EAD; scoring, rating models)
• Experience with Time series methods (ARIMA, volatility models, autocorrelation)
• Strong knowledge of statistics and econometrics (distributions, hypothesis testing, regressions)
• Machine learning skills (decision trees, boosting, model performance advanced metrics)
• Knowledge of banking risk management processes
• Proficiency in Python or R

Khairli@Fortebank.com
@urajin01

• Develop frontend product from scratch
• Implement interfaces based on UX/UI designer mockups
• Create frontend architecture and project structure
• Work with APIs and integrate with backend services

• 2-3 years of experience
• JavaScript/TypeScript
• React, Next.js
• API integration (REST, WebSocket)
• Build configuration experience
• Startup frontend architecture experience
• Knowledge of CI/CD processes

📧 hr@q-data.kz
📱 @lunacom99

• Development and maintenance of internal services like authentication, payments, file storage, image processing, and infrastructure utilities

• Good knowledge of PHP/Go (middle level and above)
• Familiarity with databases: Mysql, Mongodb, Redis, Elasticsearch, Clickhouse, Scylladb (cassandra)
• Understanding of infrastructure and coding environment: Linux, Docker, Nginx, Kubernetes, Ansible, Opensips, Asterisk
• Proficiency in monitoring tools for issue detection and resolution
• Ability to write tests
• Proficiency in git and understanding of build and deploy processes using Github Enterprise

• Kubernetes
• microservices architecture and inter-service communication

📧 loboda@kolesa.kz
📱 @HRalexandra1

• Drive personalization and analytics for millions of users
• Develop local data science presence
• Own full lifecycle: data analysis, model building, deployment

• 6–8 years in ML with predictive modeling and deep learning
• 1–2 years in personalization, recommendations, or search
• Advanced degree in a quantitative field (CS, Statistics or related)
• Solid knowledge of ML and AB testing
• Experience in DB (Oracle, BigQuery), and bid gata (Spark, Hadoop etc)

📧 rustem.burkhanov@careem.com (please use "DSML KZ - full name" as a title)

• Launching AI knowledge base (KB): structure and taxonomy, source import, RAG/search with citation, article templates, top FAQ coverage
• Scaling: connecting new channels (WhatsApp/website/Telegram), multi-language (RU/EN), expansion of integrations and onboarding, growth of coverage metrics and deflection
• Metrics: deflection, TTF-Answer, conversion to meetings
• AI funnels: leads → demo → merchants

• Understanding of KB architecture + RAG/search, content onboarding
• Ability to work with chatbots (TG/WA/website): pre-sales, L1 support, routing and handover

info@nbcgate.com
@CEO_NBCgate

• Design and build LLM agents with tools (search, API, RAG, MCP)
• Collect benchmarks and metrics: success rate, latency, cost
• Write services using FastAPI, queues, monitoring, logging
• Develop automations for large businesses
• High pace and self-sufficiency required
• Behavioral interview is a key selection criterion

• Python (PyTorch is a plus)
• Ability to read and understand code
• Basic experience with LLM/inference
• Git, Linux, Docker

• Agent frameworks (LangChain/LlamaIndex, OpenAI agents)
• Function calling, formatted outputs
• Inference optimization (batching, routing)

📱 @timur_agrv08