Краткое описание

•  Мы ищем сотрудника на частичную занятость в качестве Project Manager (R&D, HealthTech)

Обязанности

• Координация междисциплинарной команды (Data Science, медицинские эксперты, IT-разработка).

• Планирование сроков, контроль задач, взаимодействие с партнёрами и научными организациями.

• Подготовка документации для грантов и инвесторов.

Требования

• Опыт управления IT- или научными проектами 2+ лет.

• Знание Agile, Jira/ClickUp, навыки коммуникации на русском и английском.

• Опыт в HealthTech/MedTech будет преимуществом.

Условия

•  для обсуждения

Контактная информация

•  info@checkapp.kz

Краткое описание

•  Поиск ML инженера для формирования медицинской аналитики

Обязанности

• Разработка backend-модулей для машинного обучения и интеграция с платформой CheckApp.

• Оптимизация производительности моделей, API-интерфейсов и конвейеров данных.

• Работа с обезличенными медицинскими данными в защищённой среде.

Требования

• Python, MLflow, FastAPI, Docker, SQL/NoSQL.

• Опыт построения и деплоя предиктивных моделей.

• Знание принципов безопасности данных и шифрования — плюс.

Условия

•  для обсуждения

Контактная информация

•  info@checkapp.kz

Краткое описание

•  Ищем на аутсорс Data Scientist с опытом работы в мед.сфере

Обязанности

• Разработка и обучение ML-моделей для прогнозирования биологического возраста и рисков заболеваний.

• Работа с медицинскими и эпигенетическими данными (анализы, поведенческие факторы, анкеты).

• Обеспечение качества данных, feature engineering и валидация моделей.

Требования

• Опыт работы с Python, scikit-learn, pandas, TensorFlow/PyTorch.

• Понимание биомедицинской статистики и принципов машинного обучения.

• Желателен опыт в проектах HealthTech / Bioinformatics / Life Science.

Условия

•  для обсуждения

Контактная информация

•  info@checkapp.kz

Мы ищем QA Engineer (Manual + Automation), который поможет нам улучшать качество продукта в Agile-среде.

Что важно:

Опыт работы в QA в Agile-команде;

Умение организовать процесс тестирования — QA-manager mindset приветствуется;

Владение manual и automated тестированием (примерно 60/40);

Знание современных инструментов автоматизации (Selenium, Cypress, Playwright и др.);

Умение писать понятную документацию и работать в команде разработчиков.

Будет плюсом:

Опыт CI/CD, API-тестирования, и участие в построении QA-процессов с нуля.

Краткое описание

Менеджер по работе с клиентами в финтех-компании «Бухта»

Обязанности

 • Общение с клиентами в мессенджерах, по телефону.
 • Консультирование по услугам компании.
 • Ведение клиентской базы (CRM);
 • Сопровождение клиентов на всех этапах взаимодействия;
 • Оперативное решение возникающих вопросов;
 • Передача обратной связи от клиентов в команду.

Требования

• Грамотная речь и умение просто объяснять сложное;
• Желание работать и развиваться в IT-сфере;
• Уверенное владение компьютером и мессенджерами.

 Опыт не требуется — всему научим!

Условия

 • Зарплата: от 250 000 ₸ (обсуждается по итогам собеседования);
 • Работа в комфортной digital-среде;
 • Обучение, поддержка наставника и карьерный рост;
 • Молодая команда и дружелюбная атмосфера;
 • Возможность перейти в проектный или продуктовый менеджмент.  

Контактная информация

+77088173613
telegram - @tolegenov_tolebi

Краткое описание

• Образовательный центр по подготовке детей к IELTS и SAT

Обязанности

•  Продажа курсов подготовки к IELTS и SAT
• Консультация клиентов, сопровождение сделки

Требования

•  Опыт в продажах (желательно)
• Хорошие коммуникативные навыки

Условия

•  Оклад + % от продаж
• Обучение, рост и поддержка команды

Контактная информация

•  87759698136

Client

Our client is a global leader in online gaming, specializing in betting exchanges and online casino games like poker and bingo. They operate proprietary software with web, mobile, and native iOS and Android apps, serving over two million players across 50 countries.

Position overview

We are seeking a skilled SQL Developer to join our dynamic team. The ideal candidate will be responsible for building, maintaining, and supporting key compliance reports across multiple international markets. You will design and develop complex SQL queries, stored procedures, and database functions to support data requirements and analysis. This role requires optimizing database performance, collaborating with development teams, and ensuring data integrity and regulatory compliance.

Responsibilities

• Build, maintain, and support key compliance reports across various international markets
• Design and develop complex SQL queries, stored procedures, and database functions
• Support requirements gathering, data mapping, and data analysis efforts
• Optimize database performance through query tuning and indexing strategies
• Collaborate with development teams to implement efficient database solutions for applications
• Ensure data integrity, security, and compliance with regulatory standards
• Monitor database performance and troubleshoot issues proactively
• Participate in database design reviews and provide technical recommendations
• Document database schemas, procedures, and processes thoroughly
• Support testing and validation to ensure correctness of data in reports

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• Minimum 3 years of experience in SQL development involving complex reporting requirements
• Proficiency in one or more database systems such as RedShift, PostgreSQL, SQL Server, or similar
• Strong understanding of indexing, query optimization, and performance tuning techniques
• Familiarity with version control systems such as Git

Nice to have

• Experience in the gaming or sports betting industry is a plus
• Experience with complex regulatory compliance requirements
• Familiarity with business intelligence tools such as Looker
• Python programming experience
• Knowledge of cloud database platforms (AWS RDS, Azure SQL, etc.)
• Understanding of data warehousing concepts

Client

Our client is the world leader in online gaming services. Their business is developing in several directions, most prominent ones are a betting exchange and online games. The betting center and the bookmaker run on their own software. The company's web services have mobile versions and native applications for iOS and Android and are used by more than two million players from 50 countries.

Position overview

We are seeking an expert in designing, implementing, and operating stable, scalable, and cost-effective ETL solutions that extract data from production systems into our data platform. We want someone passionate about working with vast datasets who loves bringing data together to answer business questions and drive growth.

Responsibilities

• As part of our Data Platform team, you will lead data and process innovation through robust delivery of exceptional solutions.
• Transform raw data into useful, actionable data systems.
• Strive for efficiency by aligning data systems with business goals.
• Contribute to technology selection and ensure proper data design and implementation across projects.
• Demonstrate hands-on expertise in processing large datasets, data structure, access patterns, big data concepts, and cloud computing.
• Collaborate with Data Product Owners to understand data requirements and build ETL processes.

Requirements

• 4+ years of experience designing and implementing efficient ETL processes and data pipelines.
• Experience with streaming-based integration patterns and stream processing.
• Strong experience with Databricks platform on AWS (including workspaces, clusters, jobs, notebooks).
• Proficiency in PySpark, SQL, and Python for data processing.
• Hands-on experience with Delta Lake, Lakehouse architecture, and medallion design patterns (bronze/silver/gold).
• Broad familiarity with AWS technologies, especially Glue, Athena, EMR, Redshift, Lambda, and Kinesis.
• Involvement with CI/CD platforms and deployment patterns such as Jenkins, Ansible, shell scripting, unit/integration testing.
• Experience designing scalable data warehousing solutions.
• Familiarity with Agile software development and DevOps practices.
• Strong collaboration skills and ability to communicate effectively with both technical and business teams.

Position overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models focused on betting position forecasting, real-time analytics, and anomaly detection. The ideal candidate will have strong expertise in time series forecasting, predictive modeling, and scalable production deployment. You will work closely with cross-functional teams to integrate machine learning solutions that drive data-driven decision-making in a fast-paced betting environment, ensuring high model accuracy and reliability.

Responsibilities

• Design and develop machine learning models for betting position forecasting and recommendation systems
• Build and deploy predictive analytics solutions delivering real-time betting insights
• Implement anomaly detection systems to identify unusual betting patterns and potential risks
• Develop pattern recognition algorithms for market trend analysis and user behavior prediction
• Ensure scalable, reliable deployment of ML models within production betting environments
• Monitor, evaluate, and optimize model performance and accuracy continuously
• Collaborate closely with development teams to integrate ML solutions into betting platforms

Requirements

• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Proven experience in time series forecasting, predictive modeling, and anomaly detection
• Solid grasp of statistical analysis and probability theory relevant to betting/gaming contexts
• Hands-on experience deploying ML models in real-time production environments
• Expertise in data preprocessing, feature engineering, and model validation techniques
• Familiarity with ML Ops best practices including model monitoring and versioning

Nice to have

• Experience with Azure ML or similar cloud ML platforms
• Knowledge of databases, data pipelines, and data engineering fundamentals
• Understanding of A/B testing and experimentation frameworks
• Experience with containerization tools like Docker and CI/CD pipelines