Вакансии

• Apply modern CV algorithms
• Proficiency in Python and C++

• 2+ years experience in Computer Vision projects
• Neural networks knowledge
• Deep Learning experience in detection and classification

• Git, Docker
• video stream analysis libraries
• Linux development

📧 zh.kirgizbayeva@srgdev.kz
📱 @zhibek0206

• Validation of credit and market risk models, as well as other models used in the Bank
• Monitoring of models deployed in production
• Methodological support for credit risk assessment and validation
• Development of methodological documents regarding model validation
• Participation in the development of models of various types
• Collection and processing of data from the database

• Bachelor/Master in Data Science/Mathematics/Statistics/Economics, deep understanding of statistics, machine learning algorithms and AI
• At least 2 years of experience in Data Science and 4 years experience in data analysis
• Ability to work with large volumes of data
• Advanced coding abilities in python/r/sql
• English at least upper intermediate
• Advanced communication skills

• Skills in web scraping
• Experience in the banking sector

📧 zhansayakan@freedombank.kz
📱 @nezhansaya

• Develop machine learning models for credit assessment
• Data collection and processing
• Integrate models into existing systems
• Collaborate with team
• Communicate technical concepts to non-technical stakeholders

• Experience working with scoring systems, financial analysis or a similar role
• Deep knowledge and experience with machine learning and data analytics techniques
• Ability to work with large volumes of data, including data collection, cleaning and pre-processing
• Programming languages: Python, R, SQL
• Data visualization tools like Tableau
• ML frameworks and libraries, TensorFlow, Keras, Scikit-Learn

📧 zh.kamelinova@tascredit.kz
📱 @kzk888

• Work with diffusion models for solving complex tasks
• Train various GAN models and improve current pipelines
• Generate synthetic data
• Write services for deployment
• Interact with the data collection team

• Extensive experience applying GAN models in real-world applications
• Experience with diffusion models in real-world scenarios
• Solid knowledge of Pytorch
• Experience with libraries such as scikit-image, openCV, PIL
• Desire to learn new approaches, models, and technologies
• Writing readable and maintainable code
• Ability to work with bash, git
• English proficiency for reading articles
• Knowledge of probability theory, statistics, linear algebra, and optimization methods

📧 hr@pho.to

• Machine Learning algorithms (e.g., random forest, neural networks)
• Distributed systems
• Version control system Git
• Big data analysis with SQL, PySpark, Python
• Statistical data analysis (correlation, ANOVA, Chi-squared test)

• Experience 2+ years
• Python (pandas, numpy, tensorflow, scikit), Tensorflow or PyTorch
• SQL, PySpark, BI tools (Power BI), Git
• Ability to work with large volumes of data;
• Understanding of the basics of machine learning (linear regression works, decision trees) and statistics (correlation, ANOVA, Chi-squared test, etc.)
• Data visualization skills (matplotlib, seaborn, etc)
• basic understanding of GOlang, Flink, Kafka

📧 b.nurseitov@astanahub.com
📱 @MrNurseitov

• Participate in annotation process control
• Support existing training pipelines
• Develop new pipelines
• Write APIs for working with trained models
• Solve CV tasks (segmentation, classification, generative networks)
• Code reviews

• Experience with neural networks (CNN, RNN)
• Experience with Generative models (GAN, DM)
• Python, Pytorch, Pytorch-lightning
• Understanding of basic data structures and algorithms
• Knowledge of classical ML algorithms
• Docker, Git
• Desire and ability to conduct research

📧 zh.sagimbayev@cerebra.kz

• Develop and maintain reports and dashboards in Power BI
• Analyze data and present key metrics
• Collaborate with the team to gather requirements and provide analytical solutions
• Ensure data accuracy and relevancy

• Proven experience with Power BI, SQL, and Excel
• Ability to visualize data and create business-friendly reports
• Attention to detail and analytical mindset

📧 hr@greenline.kz

• Participate in pre-sales activities, conduct pre-project analysis, pilot projects, presentations
• Identify key client problems and work on solutions that bring business value
• Recommend key performance indicators based on business requirements
• Discuss business user needs and how they will consume information
• Dive into the client's subject area to analyze regulations, open sources, conduct interviews
• Design applications and data architecture based on business requirements

• Practical experience with MS SQL Server, ORACLE, Informatica, Talend, PostgreSQL, Greenplum
• Experience in gathering requirements and regular communication with business units
• Deep understanding of data integration processes, data analysis, and business process optimization
• Skills in SQL and relational databases
• Experience with BI tools
• Understanding of Git, SVN versioning processes
• Understanding the difference between ETL and ELT processes

• Experience with SAP BW
• Writing LOAD scripts in Qlik Sense for data validation
• Developing and maintaining management and regulatory reports in BI platforms like IBM Cognos and Qlik
• Experience in financial sector

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