Жұмыс орындары

• Develop Data Science models for fraud detection in large financial transaction datasets
• Utilize statistics, anomaly detection, time series analysis
• Contribute to building end-to-end infrastructure (Python, SQL, Big Data)
• Influence product decisions and protect millions of users

• 5+ years in Data Science
• Strong Python (pandas, scikit-learn/PyTorch) and SQL
• Deep understanding of DS/ML, statistics

• Big Data (Spark/Hadoop)
• Cloud platforms (AWS/Azure/GCP)
• Streaming (Kafka)

📧 ksimonchik@miteksystems.com

• Developing payment acceptance and cryptocurrency exchange ecosystems
• Maintaining AML platform

• React 18
• Strong JS (ES 6+) and TypeScript
• Experience with REST/GraphQL
• Experience in Node.js, Solid principles, design patterns
• Basic SQL knowledge
• Understanding of blockchain protocols
• Experience with Vite, Webpack

• Experience with Vue, Angular

📧 daryana.gudzenko@gmail.com
📱 @daryana_bye

• Develop and optimize LLM and NLP models
• Train neural networks and prepare datasets
• Optimize model inference and computation costs
• Build FastAPI endpoints for LLM
• Scale and maintain highload AI systems
• Research and implement advanced Conversational AI methods

• 4+ years in ML/DS or backend development
• 1.5-2 years with NLP, LLM
• Experience scaling highload AI systems
• Python and PyTorch proficiency
• English for technical reading and discussions

• Prize placements in international competitions (IMO/IOI, ICPC)
• Scientific publications on relevant topics

📧 5410800@gmail.com
📱 @sotnikova_ey

• Develop and optimize LLM and NLP models
• Train neural networks and prepare datasets
• Optimize model inference and computation costs
• Build FastAPI endpoints for LLM
• Scale and maintain highload AI systems
• Research and implement advanced Conversational AI methods

• 4+ years in ML/DS or backend development
• 1.5-2 years with NLP, LLM
• Experience scaling highload AI systems
• Python and PyTorch proficiency
• English for technical reading and discussions

• Prize placements in international competitions (IMO/IOI, ICPC)
• Scientific publications on relevant topics

📧 5410800@gmail.com
📱 @sotnikova_ey

• Develop and maintain test cases and test plans
• Functional, regression, integration testing
• REST API testing with Postman/Swagger
• UI/UX testing (cross-browser, responsive)
• Database work (data validation via SQL queries)
• Bug logging and prioritization in Jira

• 1+ year experience as QA Engineer (manual testing)
• Testing web applications and REST API
• Proficiency in TestRail or similar test management system
• SQL (PostgreSQL) for database data validation
• Creating test cases, checklists, test plans
• Working with Jira and other task trackers

• Experience with CI/CD (GitLab)
• Basic knowledge of Cypress/Playwright for automation
• SQL query writing for data analysis

📱 @godzillaeminem
📧 alibek.kadyrkulov@hardcode.kz

• Develop and implement machine learning models for banking products
• Optimize and improve existing ML models considering business and regulatory requirements
• Prepare, process, and analyze large datasets
• Deploy and maintain ML models in production
• Develop and maintain ML pipelines
• Mentor and develop the ML engineering team

• Strong proficiency in Python and key ML libraries
• Experience with databases and big data technologies
• Deep understanding of MLOps
• Strong knowledge of A/B testing, statistical analysis, and model interpretability
• Experience with ML model monitoring tools

• Expertise in NLP or computer vision
• Experience in developing high-load ML-powered services

📧 a.kabdislam@jusan.kz

• Develop and maintain risk models, including provisioning models (PD, LGD), macroeconomic and financial risk models
• Adapt models to evolving market conditions and regulatory requirements
• Calculate provisions using these models to ensure accurate risk coverage and regulatory compliance

• Higher education in mathematics, data science, economics/finance
• Experience in provisioning models - IFRS-9 (PD, LGD, macro)
• Knowledge of Python or R
• Knowledge of statistics & econometrics - distribution, hypothesis testing, linear/logistic regression
• Experience with time series - autoregressive models, volatility models, VaR, autocorrelation

📧 ikapanov@fortebank.com
📱 @ikapan

• Develop and fine-tune AI models for text, image, and video processing
• Implement and optimize Retrieval-Augmented Generation (RAG)
• Deploy ML models on high-performance GPU servers
• Work with vector databases and embeddings for AI-based solutions
• Collaborate with researchers to integrate AI methods into projects
• Data processing, feature engineering, and model evaluation

• Proficient in Python, C++, and SQL programming
• Experience with PyTorch, TensorFlow, Hugging Face, and OpenCV
• Deep understanding of LLM, NLP, transformers, and multimodal AI architectures
• Practical experience with GPU and CUDA

• Experience with Docker and Kubernetes
• Knowledge of Big Data tools and data visualization (Power BI, Pandas, etc.)

📧 kazdevlabhr@gmail.com
📱@elle_nurk