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Astana, Kazakhstan
A Senior AI Engineer specializing in production LLM systems, agentic AI, RAG, and GPU inference infrastructure with a strong foundation in scientific computing, numerical methods, and applied research from NYU Courant.
Office / Support Relocation · 4,500 to 7,200 USD Gross per month
AdGuard has 17 years of product development experience and over 100 million users worldwide across 20+ languages. Develop products protecting against advertising, tracking, phishing, and other web threats across browser extensions, desktop, and mobile applications. Responsibilities: • Develop common business logic and custom common UI solutions using KMP; build platform abstractions for main and background thread management; implement KMP/native interoperability and reliable IPC between applications and services. Requirements: • 5+ years of mobile development, including 2+ years of commercial KMP experience; strong Android/iOS background; understanding of IPC, isolated processes, platform-specific features, multithreading, thread-pool management, and asynchronous code optimization; ability to profile memory and performance of cross-platform code; engineering independence. Optional: • Kotlin Coroutines; native development in related fields; other programming languages.
MSc Artificial Intelligence · Astana, Kazakhstan
Bolashak Presidential Scholarship owner and MSc Artificial Intelligence student with hands-on experience in data engineering, machine learning, and NLP. Skilled in building RAG pipelines, vector database integration, and deep learning models for time-series and human activity recognition tasks. Seeking an ML/AI Engineer role where I can apply my technical background to design and deploy production-ready AI systems.
Asel Yermekova has compiled Awesome Kazakh Datasets—a large, carefully structured collection of open datasets for the Kazakh language. It brings together data for: • NLP and LLM: QA, RAG, instruction tuning, NER, machine translation, and other tasks • speech: ASR, TTS, speech translation, emotion recognition • computer vision, OCR, and multimodal tasks For each dataset, the collection lists its size, scale, task, release year, and download link. It also separately marks resources that were announced but could not yet be independently verified. Repositories like this make life much easier: instead of spending hours searching, you can quickly see what Kazakh-language data already exists and what you can use for your research or product. If you know of a dataset that is not yet on the list, the repository is open for contributions: 🔗 https://github.com/Allessyer/awesome-kaz-datasets Thanks to Asel for this work, and to Alen Issayev for helping develop it!
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Asel Yermekova compiled a structured collection of open Kazakh-language datasets for NLP, speech, and computer vision.
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Kazakhstan’s team won 2 gold, 2 silver and 4 bronze medals at IOAI. Dauzhan Beketov placed second overall.
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Kazakhstan’s team took part in the opening of IOAI 2026. The delegation includes eight participants and two coaches.
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